Mistral Small 3 Mistral AI
💰 Total Cost Calculation (from Plugin)
Output: $0.000300
Output: $0.000300
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 1,000 output tokens:
- Input Cost: $0.001000
- Output Cost: $0.000300
- Total Cost: $0.000940
- Cost per 1K tokens: $0.000085
- Tokens per dollar: 11,702,128 tokens
- Context Window: 128000 tokens
Speed & Performance Analysis
With a processing speed of 700 tokens per second and 90ms time to first token:
- Processing Time: 16.84 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 700 tokens/second
- Effective Throughput: 660 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Mistral Small 3| Rank | AI Model & Provider | Total Cost | vs Mistral Small 3 |
|---|---|---|---|
| 🏆 |
Grok Code Fast 1
xAI
|
$0.002780 Best Value | ↑ 195.7% more |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.003100 | ↑ 229.8% more |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.004420 | ↑ 370.2% more |
| #4 |
Mistral Large 3
Mistral AI
|
$0.004700 | ↑ 400% more |
| #5 |
Gemini 3.1 Flash
Google
|
$0.006200 (rounded ~ $0.01) | ↑ 559.6% more |
| #6 |
Kimi K2.5
Moonshot AI
|
$0.007008 (rounded ~ $0.01) | ↑ 645.5% more |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.009300 | ↑ 889.4% more |
| #8 |
Kimi K2.6
Moonshot AI
|
$0.010346 | ↑ 1000.6% more |
| #9 |
o4-mini Deep Research
OpenAI
|
$0.010400 | ↑ 1006.4% more |
| #10 |
Grok 4.3
xAI
|
$0.010500 | ↑ 1017% more |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.011400 (rounded ~ $0.01) | ↑ 1112.8% more |
| #12 |
o4-mini
OpenAI
|
$0.011440 (rounded ~ $0.01) | ↑ 1117% more |
| #13 |
Gemini 2.5 Pro
Google
|
$0.018000 (rounded ~ $0.02) | ↑ 1814.9% more |
| #14 |
Gemini 3.5 Flash
Google
|
$0.018600 (rounded ~ $0.02) | ↑ 1878.7% more |
| #15 |
Grok 4.20 Beta
xAI
|
$0.018800 (rounded ~ $0.02) | ↑ 1900% more |
| #16 |
Gemini 3.1 Pro
Google
|
$0.024800 (rounded ~ $0.02) | ↑ 2538.3% more |
| #17 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025200 (rounded ~ $0.03) | ↑ 2580.9% more |
| #18 |
GPT-5.3 Instant
OpenAI
|
$0.025200 (rounded ~ $0.03) | ↑ 2580.9% more |
| #19 |
GPT-5.4
OpenAI
|
$0.031000 (rounded ~ $0.03) | ↑ 3197.9% more |
| #20 |
GPT-5.4 Thinking
OpenAI
|
$0.031000 (rounded ~ $0.03) | ↑ 3197.9% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.034200 (rounded ~ $0.03) | ↑ 3538.3% more |
| #22 |
Claude Opus 4.7
Anthropic
|
$0.057000 (rounded ~ $0.06) | ↑ 5963.8% more |
| #23 |
Claude Opus 4.8
Anthropic
|
$0.057000 (rounded ~ $0.06) | ↑ 5963.8% more |
| #24 |
Claude Opus 4.6
Anthropic
|
$0.057000 (rounded ~ $0.06) | ↑ 5963.8% more |
| #25 |
GPT-5.5
OpenAI
|
$0.062000 (rounded ~ $0.06) | ↑ 6495.7% more |
| #26 |
GPT-5.5 Instant
OpenAI
|
$0.062000 (rounded ~ $0.06) | ↑ 6495.7% more |
| #27 |
o3 Deep Research
OpenAI
|
$0.104000 (rounded ~ $0.10) | ↑ 10963.8% more |
| #28 |
o3 Pro
OpenAI
|
$0.208000 (rounded ~ $0.21) | ↑ 22027.7% more |
| #29 |
GPT-5.2 Pro
OpenAI
|
$0.302400 (rounded ~ $0.30) | ↑ 32070.2% more |
| #30 |
GPT-5.2 Pro
OpenAI
|
$0.302400 (rounded ~ $0.30) | ↑ 32070.2% more |
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
GPT-5.4 mini OpenAI
Kimi K2.6 Moonshot AI
o4-mini Deep Research OpenAI
Grok 4.3 xAI
Claude Haiku 4.5 Anthropic
o4-mini OpenAI
Gemini 2.5 Pro Google
Gemini 3.5 Flash Google
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Optimizing Costs with Mistral Small 3 for Code IDEs
For UX designers focused on AI integration in code generation environments, cost optimization is a perpetual challenge. Mistral Small 3 presents a highly competitive option for scenarios requiring around 10,000 tokens of context for inline code suggestions and related tasks. Its design prioritizes efficiency, making it a go-to for budget-conscious projects.
Mistral AI’s models are often lauded for their performance-to-cost ratio, and Mistral Small 3 is no exception. It delivers solid text generation and reasoning capabilities suitable for understanding code snippets and providing relevant completions. The model supports tool usage, which can be instrumental in generating more contextually accurate code by referencing external documentation or APIs.
When evaluating AI for your IDE, consider where raw power can be traded for cost savings without significantly impacting user experience. For frequent, smaller code suggestions, a highly optimized model like Mistral Small 3 can be more economical than larger, more feature-rich models. The key is to match the model’s capabilities to the specific workload—in this case, providing swift, contextually relevant code assistance.
UX designers should also consider the developer experience impact of latency. Mistral Small 3 is engineered for relatively fast inference, contributing to a responsive feel within the IDE, which is critical for developer productivity and satisfaction. Its efficient architecture ensures that even with a 10,000-token context window, it remains a pragmatic and cost-effective choice.