Devstral 2: Mistral’s Dedicated Developer Model 2026

Complete Analysis: 2,000,000 tokens for Devstral 2

Complete analysis of pricing, performance, and use cases for Mistral AI's Devstral 2 model .

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ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 256,000 tokens.

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Devstral 2
Mistral AIMax Context: 256,000 tokens
Input: $0.400000 / 1M
Output: $2.000000 / 1M

Calculate Token Costs

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Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$2.450000Total Cost
$0.400000Input Cost
$2.000000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,000,000Total Tokens
$0.001225Cost per 1K
816,327Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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79m 15sProcessing Time
450Tokens/Second
180msTime to First Token
421Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown

Devstral 2 Mistral AI

$2.450000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 256,000 tokens.
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $2.450000 Input: $0.400000
Output: $2.000000
Optimized Cost $2.450000 Input: $0.400000
Output: $2.000000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

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

  • Input Cost: $0.400000
  • Output Cost: $2.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $2.450000
  • Cost per 1K tokens: $0.001225 (rounded ~ 0.00)
  • Tokens per dollar: 816,327 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: 1 hour, 19 minutes, 15.00 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second

Best Use Cases

C++/Rust/Python CodingSecure Development

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High-Performance Coding for the EU

Devstral 2 is Mistral AI’s flagship developer model, specifically optimized for C++, Rust, and Python. At $1.50 per 1M/1M tokens, it provides a cost-effective alternative to Western coding models. It is built to be GDPR compliant and excels in secure development environments where data residency is a priority. For a 1M token project, Devstral 2 offers logic that rivals flagship models twice its price.

Secure Code Generation

Developers choose Devstral for its strict adherence to modern security practices and low hallucination rate in technical documentation. Its 128k context window is perfect for multi-module code analysis. The model is also optimized for ‘Vibe’ checks—ensuring the generated code doesn’t just work, but follows the specific stylistic conventions of the existing repository.

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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.
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The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.