Mistral Small 3 Mistral AI
💰 Total Cost Calculation (from Plugin)
Output: $0.000150
Output: $0.000150
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 5,000 input tokens and 500 output tokens:
- Input Cost: $0.000500
- Output Cost: $0.000150
- Total Cost: $0.000470
- 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: 8.27 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 700 tokens/second
- Effective Throughput: 680 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 |
|---|---|---|---|
| 🏆 |
DeepSeek V4 Flash
DeepSeek
|
$0.000364 Best Value | ↓ 22.6% cheaper |
| 🥈 |
Voxtral Small 24B
Mistral AI
|
$0.000470 | Same price |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.000470 | Same price |
| #4 |
Ministral 3 (14B)
Mistral AI
|
$0.000740 | ↑ 57.4% more |
| #5 |
Nemotron 3 Super
Mistral AI
|
$0.001370 | ↑ 191.5% more |
| #6 |
Grok Code Fast 1
xAI
|
$0.001390 | ↑ 195.7% more |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.001550 | ↑ 229.8% more |
| #8 |
Devstral 2
Mistral AI
|
$0.001730 | ↑ 268.1% more |
| #9 |
DeepSeek V4 Pro
DeepSeek
|
$0.001827 | ↑ 288.7% more |
| #10 |
Gemini 2.5 Flash
Google
|
$0.002210 | ↑ 370.2% more |
| #11 |
Mistral Large 3
Mistral AI
|
$0.002350 | ↑ 400% more |
| #12 |
Gemini 3.1 Flash
Google
|
$0.003100 | ↑ 559.6% more |
| #13 |
Kimi K2.5
Moonshot AI
|
$0.003504 | ↑ 645.5% more |
| #14 |
GPT-5.4 mini
OpenAI
|
$0.004650 | ↑ 889.4% more |
| #15 |
Kimi K2.6
Moonshot AI
|
$0.005173 (rounded ~ $0.01) | ↑ 1000.6% more |
| #16 |
o4-mini Deep Research
OpenAI
|
$0.005200 (rounded ~ $0.01) | ↑ 1006.4% more |
| #17 |
Grok 4.3
xAI
|
$0.005250 (rounded ~ $0.01) | ↑ 1017% more |
| #18 |
Claude Haiku 4.5
Anthropic
|
$0.005700 (rounded ~ $0.01) | ↑ 1112.8% more |
| #19 |
o4-mini
OpenAI
|
$0.005720 (rounded ~ $0.01) | ↑ 1117% more |
| #20 |
Magistral Medium
Mistral AI
|
$0.008900 (rounded ~ $0.01) | ↑ 1793.6% more |
| #21 |
Gemini 2.5 Pro
Google
|
$0.009000 | ↑ 1814.9% more |
| #22 |
Gemini 3.5 Flash
Google
|
$0.009300 | ↑ 1878.7% more |
| #23 |
Grok 4.20 Beta
xAI
|
$0.009400 | ↑ 1900% more |
| #24 |
Gemini 3.1 Pro
Google
|
$0.012400 (rounded ~ $0.01) | ↑ 2538.3% more |
| #25 |
GPT-5.3 Codex Spark
OpenAI
|
$0.012600 (rounded ~ $0.01) | ↑ 2580.9% more |
| #26 |
GPT-5.3 Instant
OpenAI
|
$0.012600 (rounded ~ $0.01) | ↑ 2580.9% more |
| #27 |
GPT-5.4
OpenAI
|
$0.015500 (rounded ~ $0.02) | ↑ 3197.9% more |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.015500 (rounded ~ $0.02) | ↑ 3197.9% more |
| #29 |
Claude Sonnet 4.6
Anthropic
|
$0.017100 (rounded ~ $0.02) | ↑ 3538.3% more |
| #30 |
Claude Opus 4.7
Anthropic
|
$0.028500 (rounded ~ $0.03) | ↑ 5963.8% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$0.028500 (rounded ~ $0.03) | ↑ 5963.8% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$0.028500 (rounded ~ $0.03) | ↑ 5963.8% more |
| #33 |
GPT-5.5
OpenAI
|
$0.031000 (rounded ~ $0.03) | ↑ 6495.7% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.031000 (rounded ~ $0.03) | ↑ 6495.7% more |
| #35 |
o3 Deep Research
OpenAI
|
$0.052000 (rounded ~ $0.05) | ↑ 10963.8% more |
| #36 |
o3 Pro
OpenAI
|
$0.104000 (rounded ~ $0.10) | ↑ 22027.7% more |
| #37 |
GPT-5.2 Pro
OpenAI
|
$0.151200 (rounded ~ $0.15) | ↑ 32070.2% more |
| #38 |
GPT-5.2 Pro
OpenAI
|
$0.151200 (rounded ~ $0.15) | ↑ 32070.2% more |
DeepSeek V4 Flash DeepSeek
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Nemotron 3 Super Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Devstral 2 Mistral AI
DeepSeek V4 Pro DeepSeek
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
Magistral Medium Mistral AI
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 for High-Volume Coding
As developer tools scale to support thousands of active users, the overhead of calling frontier models for every single suggestion can become a significant bottleneck. For high-volume, routine coding tasks where heavy reasoning is less critical than speed and cost-efficiency, Mistral Small 3 offers a compelling alternative for teams that need to optimize their infrastructure spend without sacrificing the overall user experience.
Mistral Small 3 is built for efficiency. It excels in tasks that require standard coding patterns, boilerplate generation, and predictable syntax completions. When your IDE workflow involves repetitive tasks—such as generating unit tests, filling in standard function parameters, or performing straightforward library calls—deploying a more efficient model reduces your per-request cost while maintaining the responsiveness developers expect. It is a workhorse model that handles high-concurrency environments gracefully.
By shifting lighter workloads to Mistral Small 3, you preserve your budget for more demanding tasks that require deeper reasoning. This tiered model strategy is a hallmark of mature AI product deployments. It allows your IDE to stay snappy even during peak hours, as the model’s footprint allows for higher throughput and easier scaling on your infrastructure. If your goal is to provide consistent, reliable coding assistance that minimizes latency and maximizes your ROI on high-frequency requests, Mistral Small 3 provides the efficiency needed to keep your product sustainable as your user base grows.