Mistral Small 3 1.5B: pricing, context window and benchmarks
Mistral Small 3 1.5B is a small open-weight model from Mistral AI. It offers a 32,768-token context window, costs $0.42 per million input tokens and $1.58 per million output tokens, and averages 49.2 across the index's benchmark suite.
Pricing
Mistral Small 3 1.5B costs $0.42 per million input tokens and $1.58 per million output tokens. A blended 3:1 input-to-output mix works out to about $0.71 per million tokens. Cached input is listed at $0.04 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.42 | per 1M tokens |
| Output | $1.58 | per 1M tokens |
| Cached input | $0.04 | per 1M tokens |
| Blended 3:1 | $0.71 | estimate per 1M tokens |
| 1M in + 1M out | $2.00 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 56.3 | 566 | 6th | |
| GPQA Diamond | 44.3 | 569 | 5th | |
| SWE-bench Verified | 34.7 | 561 | 7th | |
| HumanEval | 50.9 | 568 | 5th | |
| MATH-500 | 48.7 | 569 | 5th | |
| AIME 2025 | 36.6 | 558 | 7th | |
| LiveCodeBench | 34.5 | 572 | 5th | |
| IFEval | 62.5 | 551 | 8th | |
| TruthfulQA | 56.1 | 564 | 6th | |
| HellaSwag | 68.5 | 554 | 8th | |
| MMMU | 48.0 | 565 | 6th | |
| Arena Elo | 1200.3 | 555 | 8th |
What Mistral Small 3 1.5B is good for
Mistral Small 3 1.5B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.42 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.42 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 Replicate 1.5B | Replicate | 4096 | $0.51 | 49.3 |
| Molmo 7B | Allen Institute for AI | 32768 | $0.42 | 49.3 |
| Mistral Small 3 1.5B | Mistral AI | 32768 | $0.42 | 49.2 |
| Llama 3 Novita 1.5B | Novita AI | 4096 | $0.41 | 49.1 |
| Gemma 3 1.5B | Google DeepMind | 32768 | $0.40 | 48.9 |
| Llama 3 Anyscale 1.5B | Anyscale | 16384 | $0.43 | 48.9 |
FAQ
How much does Mistral Small 3 1.5B cost?
Mistral Small 3 1.5B is listed at $0.42 per million input tokens and $1.58 per million output tokens. Cached input is $0.039 per million tokens. A blended 3:1 input-to-output mix is about $0.71 per million tokens.
What is the context window of Mistral Small 3 1.5B?
Mistral Small 3 1.5B has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Mistral Small 3 1.5B open weights?
Yes. Mistral Small 3 1.5B is listed as an open-weight model under a open weights licence.
How does Mistral Small 3 1.5B score on benchmarks?
Mistral Small 3 1.5B averages 49.2 across the scored benchmarks in this index, ranking #565 of 600 models. Its strongest relative result is Arena Elo at 1200.3.
What is Mistral Small 3 1.5B best for?
Mistral Small 3 1.5B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.42 per million input tokens it can handle a large share of production traffic.