What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Anthropic offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 30% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

Claude Sonnet 4.6 vs Devstral 2 for 10-Million Token Coding Pipelines

Name: Devstral 2
Brand: Mistral AI
Rating: 4.5 (89 reviews)

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5 pricing → · All recent pricing changes

Claude Sonnet 4.6 vs Devstral 2

Complete Comparison: 10,000 input tokens × 1,000 output tokens

⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	Claude Sonnet 4.6 Anthropic	Devstral 2 Mistral AI
Calculation Results (Current Inputs) (30% cached)
Input Tokens	10,000	10,000
Output Tokens	1,000	1,000
Cost Breakdown
Input Cost	$0.007500 (rounded ~ $0.01)Worst	$0.001000Best
Output Cost	$0.003750Worst	$0.000225Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.009225 Most Expensive	$0.000955 Best Value
Processing Time	25.36 seconds	25.36 seconds
Tokens per Second	450	450
Time to First Token	200ms Worst	180ms Best
Cost per 1K tokens	$0.000839Worst	$0.000087Best
Tokens per Dollar	1,192,412Worst Value	11,518,325Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.750000Worst	$0.100000Best
Output Cost / 1M (Base)	$3.750000Worst	$0.225000 (rounded ~ $0.23)Best
Input Cost / 1M (Optimized)	$0.375000 (rounded ~ $0.38)Worst Optimizations: 50.0% batch	$0.050000Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$1.875000 (rounded ~ $1.88)Worst Optimizations: 50.0% batch	$0.112500 (rounded ~ $0.11)Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✗ Not Supported
Caching Support 30	✓ Supported	✓ Supported
Batch API Support	✓ Supported	✓ Supported
Tool Usage Support	✓ Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Claude Sonnet 4.6 Anthropic 1000000

$0.009225

Total Cost

⚡ 30% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✓ Available

⚡

Caching

✓ Available

90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.011250 (rounded ~ $0.01) Input: $0.007500 (rounded ~ $0.01)
Output: $0.003750

Optimized Cost $0.009225 Input: $0.007500 (rounded ~ $0.01)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000

Total Savings $0.002025 18.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

Input Cost: $0.007500 (rounded ~ $0.01)
Output Cost: $0.003750
Total Cost: $0.009225
Cost per 1K tokens: $0.000839
Tokens per dollar: 1,192,412 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

Processing Time: 25.36 seconds
Latency: 200 milliseconds to first token
Base Throughput: 450 tokens/second
Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 4.6 for complex refactoring/debugging; use Devstral 2 for high-throughputroutine code generation tasks.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

Devstral 2 Mistral AI

$0.000955

Total Cost

⚡ 30% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✗ Not Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✓ Available

⚡

Caching

✓ Available

90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.001225 Input: $0.001000
Output: $0.000225

Optimized Cost $0.000955 Input: $0.001000
Output: $0.000225
Unit: $0.000000
Fees: $0.000000

Total Savings $0.000270 22.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

Input Cost: $0.001000
Output Cost: $0.000225
Total Cost: $0.000955
Cost per 1K tokens: $0.000087
Tokens per dollar: 11,518,325 tokens
Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 180ms time to first token:

Processing Time: 25.36 seconds
Latency: 180 milliseconds to first token
Base Throughput: 450 tokens/second
Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 4.6 for complex refactoring/debugging; use Devstral 2 for high-throughputroutine code generation tasks.

Want this applied to YOUR actual stack?

This calculator shows the math for Devstral 2. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 4.6

📋 Active Input Parameters

Input Tokens: 10,000

Output Tokens: 1,000

Batch API: Enabled (50% discount)

Cached Tokens: 30%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Sonnet 4.6	vs Devstral 2
🏆	Mistral Small 3 Mistral AI	$0.000258 Best Value	↓ 97.2% cheaper	↓ 73% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.000831	↓ 91% cheaper	↓ 13% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.001173	↓ 87.3% cheaper	↑ 22.8% more
#4	Gemini 2.5 Flash Google	$0.001173	↓ 87.3% cheaper	↑ 22.8% more
#5	Mistral Large 3 Mistral AI	$0.001288	↓ 86% cheaper	↑ 34.8% more
#6	Gemini 3.8 Flash Google	$0.002306	↓ 75% cheaper	↑ 141.5% more
#7	GPT-5.4 mini OpenAI	$0.002494	↓ 73% cheaper	↑ 161.1% more
#8	o4-mini Deep Research OpenAI	$0.002825	↓ 69.4% cheaper	↑ 195.8% more
#9	Claude Haiku 4.5 Anthropic	$0.003075	↓ 66.7% cheaper	↑ 222% more
#10	o4-mini OpenAI	$0.003108	↓ 66.3% cheaper	↑ 225.4% more
#11	Gemini 3.1 Flash Google	$0.003325	↓ 64% cheaper	↑ 248.2% more
#12	GPT-5.6 Luna OpenAI	$0.003325	↓ 64% cheaper	↑ 248.2% more
#13	Gemini 3.6 Flash Google	$0.004613	↓ 50% cheaper	↑ 383% more
#14	Gemini 3.5 Flash Google	$0.004988	↓ 45.9% cheaper	↑ 422.3% more
#15	Claude Sonnet 5 Anthropic	$0.006150 (rounded ~ $0.01)	↓ 33.3% cheaper	↑ 544% more
#16	GPT-5.3 Codex Spark OpenAI	$0.006694 (rounded ~ $0.01)	↓ 27.4% cheaper	↑ 600.9% more
#17	GPT-5.3 Instant OpenAI	$0.006694 (rounded ~ $0.01)	↓ 27.4% cheaper	↑ 600.9% more
#18	GPT-5.6 Terra OpenAI	$0.008313 (rounded ~ $0.01)	↓ 9.9% cheaper	↑ 770.4% more
#19	Grok 4.3 xAI	$0.009300	↑ 0.8% more	↑ 873.8% more
#20	Grok 4.20 Beta xAI	$0.009300	↑ 0.8% more	↑ 873.8% more
#21	Gemini 2.5 Pro Google	$0.009563	↑ 3.7% more	↑ 901.3% more
#22	Gemini 3.1 Pro Google	$0.013300 (rounded ~ $0.01)	↑ 44.2% more	↑ 1292.7% more
#23	Claude Opus 4.7 Anthropic	$0.015375 (rounded ~ $0.02)	↑ 66.7% more	↑ 1509.9% more
#24	Claude Opus 5 Anthropic	$0.015375 (rounded ~ $0.02)	↑ 66.7% more	↑ 1509.9% more
#25	Claude Opus 4.8 Anthropic	$0.015375 (rounded ~ $0.02)	↑ 66.7% more	↑ 1509.9% more
#26	Claude Opus 4.6 Anthropic	$0.015375 (rounded ~ $0.02)	↑ 66.7% more	↑ 1509.9% more
#27	GPT-5.4 OpenAI	$0.016625 (rounded ~ $0.02)	↑ 80.2% more	↑ 1640.8% more
#28	GPT-5.4 Thinking OpenAI	$0.016625 (rounded ~ $0.02)	↑ 80.2% more	↑ 1640.8% more
#29	GPT-5.5 Instant OpenAI	$0.016625 (rounded ~ $0.02)	↑ 80.2% more	↑ 1640.8% more
#30	GPT-5.6 Sol OpenAI	$0.016625 (rounded ~ $0.02)	↑ 80.2% more	↑ 1640.8% more
#31	o3 Deep Research OpenAI	$0.028250 (rounded ~ $0.03)	↑ 206.2% more	↑ 2858.1% more
#32	Claude Fable 5.1 Anthropic	$0.030188	↑ 227.2% more	↑ 3061% more
#33	Claude Mythos 5.1 Anthropic	$0.030188	↑ 227.2% more	↑ 3061% more
#34	Claude Fable 5 Anthropic	$0.030750	↑ 233.3% more	↑ 3119.9% more
#35	Claude Mythos 5 Anthropic	$0.030750	↑ 233.3% more	↑ 3119.9% more
#36	GPT-5.5 OpenAI	$0.033250 (rounded ~ $0.03)	↑ 260.4% more	↑ 3381.7% more
#37	o3 Pro OpenAI	$0.056500 (rounded ~ $0.06)	↑ 512.5% more	↑ 5816.2% more
#38	GPT-6 Astra OpenAI	$0.061500 (rounded ~ $0.06)	↑ 566.7% more	↑ 6339.8% more
#39	GPT-5.2 Pro OpenAI	$0.080325	↑ 770.7% more	↑ 8311% more
#40	GPT-5.2 Pro OpenAI	$0.080325	↑ 770.7% more	↑ 8311% more

🏆

Mistral Small 3
Mistral AI

$0.000258

vs Claude Sonnet 4.6: ↓ 97.2%

vs Devstral 2: ↓ 73%

🥈

Gemini 3.1 Flash Lite
Google

$0.000831

vs Claude Sonnet 4.6: ↓ 91%

vs Devstral 2: ↓ 13%

🥉

Gemini 3.5 Flash-Lite
Google

$0.001173

vs Claude Sonnet 4.6: ↓ 87.3%

vs Devstral 2: ↑ 22.8%

Gemini 2.5 Flash
Google

$0.001173

vs Claude Sonnet 4.6: ↓ 87.3%

vs Devstral 2: ↑ 22.8%

Mistral Large 3
Mistral AI

$0.001288

vs Claude Sonnet 4.6: ↓ 86%

vs Devstral 2: ↑ 34.8%

Gemini 3.8 Flash
Google

$0.002306

vs Claude Sonnet 4.6: ↓ 75%

vs Devstral 2: ↑ 141.5%

GPT-5.4 mini
OpenAI

$0.002494

vs Claude Sonnet 4.6: ↓ 73%

vs Devstral 2: ↑ 161.1%

o4-mini Deep Research
OpenAI

$0.002825

vs Claude Sonnet 4.6: ↓ 69.4%

vs Devstral 2: ↑ 195.8%

Claude Haiku 4.5
Anthropic

$0.003075

vs Claude Sonnet 4.6: ↓ 66.7%

vs Devstral 2: ↑ 222%

#10

o4-mini
OpenAI

$0.003108

vs Claude Sonnet 4.6: ↓ 66.3%

vs Devstral 2: ↑ 225.4%

#11

Gemini 3.1 Flash
Google

$0.003325

vs Claude Sonnet 4.6: ↓ 64%

vs Devstral 2: ↑ 248.2%

#12

GPT-5.6 Luna
OpenAI

$0.003325

vs Claude Sonnet 4.6: ↓ 64%

vs Devstral 2: ↑ 248.2%

#13

Gemini 3.6 Flash
Google

$0.004613

vs Claude Sonnet 4.6: ↓ 50%

vs Devstral 2: ↑ 383%

#14

Gemini 3.5 Flash
Google

$0.004988

vs Claude Sonnet 4.6: ↓ 45.9%

vs Devstral 2: ↑ 422.3%

#15

Claude Sonnet 5
Anthropic

$0.006150 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 33.3%

vs Devstral 2: ↑ 544%

#16

GPT-5.3 Codex Spark
OpenAI

$0.006694 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 27.4%

vs Devstral 2: ↑ 600.9%

#17

GPT-5.3 Instant
OpenAI

$0.006694 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 27.4%

vs Devstral 2: ↑ 600.9%

#18

GPT-5.6 Terra
OpenAI

$0.008313 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 9.9%

vs Devstral 2: ↑ 770.4%

#19

Grok 4.3
xAI

$0.009300

vs Claude Sonnet 4.6: ↑ 0.8%

vs Devstral 2: ↑ 873.8%

#20

Grok 4.20 Beta
xAI

$0.009300

vs Claude Sonnet 4.6: ↑ 0.8%

vs Devstral 2: ↑ 873.8%

#21

Gemini 2.5 Pro
Google

$0.009563

vs Claude Sonnet 4.6: ↑ 3.7%

vs Devstral 2: ↑ 901.3%

#22

Gemini 3.1 Pro
Google

$0.013300 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↑ 44.2%

vs Devstral 2: ↑ 1292.7%

#23

Claude Opus 4.7
Anthropic

$0.015375 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 66.7%

vs Devstral 2: ↑ 1509.9%

#24

Claude Opus 5
Anthropic

$0.015375 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 66.7%

vs Devstral 2: ↑ 1509.9%

#25

Claude Opus 4.8
Anthropic

$0.015375 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 66.7%

vs Devstral 2: ↑ 1509.9%

#26

Claude Opus 4.6
Anthropic

$0.015375 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 66.7%

vs Devstral 2: ↑ 1509.9%

#27

GPT-5.4
OpenAI

$0.016625 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 80.2%

vs Devstral 2: ↑ 1640.8%

#28

GPT-5.4 Thinking
OpenAI

$0.016625 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 80.2%

vs Devstral 2: ↑ 1640.8%

#29

GPT-5.5 Instant
OpenAI

$0.016625 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 80.2%

vs Devstral 2: ↑ 1640.8%

#30

GPT-5.6 Sol
OpenAI

$0.016625 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↑ 80.2%

vs Devstral 2: ↑ 1640.8%

#31

o3 Deep Research
OpenAI

$0.028250 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↑ 206.2%

vs Devstral 2: ↑ 2858.1%

#32

Claude Fable 5.1
Anthropic

$0.030188

vs Claude Sonnet 4.6: ↑ 227.2%

vs Devstral 2: ↑ 3061%

#33

Claude Mythos 5.1
Anthropic

$0.030188

vs Claude Sonnet 4.6: ↑ 227.2%

vs Devstral 2: ↑ 3061%

#34

Claude Fable 5
Anthropic

$0.030750

vs Claude Sonnet 4.6: ↑ 233.3%

vs Devstral 2: ↑ 3119.9%

#35

Claude Mythos 5
Anthropic

$0.030750

vs Claude Sonnet 4.6: ↑ 233.3%

vs Devstral 2: ↑ 3119.9%

#36

GPT-5.5
OpenAI

$0.033250 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↑ 260.4%

vs Devstral 2: ↑ 3381.7%

#37

o3 Pro
OpenAI

$0.056500 (rounded ~ $0.06)

vs Claude Sonnet 4.6: ↑ 512.5%

vs Devstral 2: ↑ 5816.2%

#38

GPT-6 Astra
OpenAI

$0.061500 (rounded ~ $0.06)

vs Claude Sonnet 4.6: ↑ 566.7%

vs Devstral 2: ↑ 6339.8%

#39

GPT-5.2 Pro
OpenAI

$0.080325

vs Claude Sonnet 4.6: ↑ 770.7%

vs Devstral 2: ↑ 8311%

#40

GPT-5.2 Pro
OpenAI

$0.080325

vs Claude Sonnet 4.6: ↑ 770.7%

vs Devstral 2: ↑ 8311%

✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Managing a 10-million token coding pipeline requires a strategic choice between high-reasoning capability and high-throughput efficiency. For large-scale code generation workflows, such as automated refactoring agents or large-file documentation tools, the friction point is often the trade-off between model intelligence and operational overhead. Claude Sonnet 4.6 is frequently selected for its ability to handle complex architectural reasoning, making it suitable for high-stakes refactoring or deep-dive code reviews where accuracy is non-negotiable. Its understanding of multi-file dependencies allows it to maintain context across significant codebases effectively. Conversely, Devstral 2 acts as a high-performance alternative designed for rapid, iterative code generation. It shines in scenarios where the task involves routine boilerplate, unit test generation, or high-volume ETL script creation, where the sheer number of tokens processed per day demands a highly efficient model. When building your pipeline, consider whether your bottleneck is the depth of logic (favoring Sonnet) or the volume of output (favoring Devstral). These models represent different ends of the coding-assistant spectrum; one provides the sophisticated logic needed for complex debugging, while the other offers a lean, cost-effective engine for scaling developer velocity without compromising on the essential requirements of modern software development workflows.

Frequently Asked Questions

How accurate are these AI model cost calculations?

Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.

How does prompt caching work?

Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.

How do Market Recommendations work (v8.6.0)?

Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.

What is the YemHub AI Calculator Tool?

The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.

Claude Sonnet 4.6 vs Devstral 2 for 10-Million Token Coding Pipelines

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Sonnet 4.6

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Claude Sonnet 4.6 Anthropic 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Devstral 2 Mistral AI

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Mistral Small 3 Mistral AI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

Gemini 3.8 Flash Google

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

o4-mini OpenAI

Gemini 3.1 Flash Google

GPT-5.6 Luna OpenAI

Gemini 3.6 Flash Google

Gemini 3.5 Flash Google

Claude Sonnet 5 Anthropic

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

GPT-5.6 Terra OpenAI

Grok 4.3 xAI

Grok 4.20 Beta xAI

Gemini 2.5 Pro Google

Gemini 3.1 Pro Google

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

GPT-5.6 Sol OpenAI

o3 Deep Research OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-6 Astra OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Mistral Small 3
Mistral AI

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

Gemini 3.8 Flash
Google

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

Claude Haiku 4.5
Anthropic

o4-mini
OpenAI

Gemini 3.1 Flash
Google

GPT-5.6 Luna
OpenAI

Gemini 3.6 Flash
Google

Gemini 3.5 Flash
Google

Claude Sonnet 5
Anthropic

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

GPT-5.6 Terra
OpenAI

Grok 4.3
xAI

Grok 4.20 Beta
xAI

Gemini 2.5 Pro
Google

Gemini 3.1 Pro
Google

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

GPT-5.5 Instant
OpenAI

GPT-5.6 Sol
OpenAI

o3 Deep Research
OpenAI

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

o3 Pro
OpenAI

GPT-6 Astra
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI