Mistral Large 3 1.5B: pricing, context window and benchmarks
Mistral Large 3 1.5B is a small open-weight model from Mistral AI. It offers a 32,768-token context window, costs $0.82 per million input tokens and $3.17 per million output tokens, and averages 55.4 across the index's benchmark suite.
Pricing
Mistral Large 3 1.5B costs $0.82 per million input tokens and $3.17 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.41 per million tokens. Cached input is listed at $0.12 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.82 | per 1M tokens |
| Output | $3.17 | per 1M tokens |
| Cached input | $0.12 | per 1M tokens |
| Blended 3:1 | $1.41 | estimate per 1M tokens |
| 1M in + 1M out | $3.99 | 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 | 62.2 | 499 | 17th | |
| GPQA Diamond | 52.3 | 497 | 17th | |
| SWE-bench Verified | 38.2 | 537 | 11th | |
| HumanEval | 56.6 | 534 | 11th | |
| MATH-500 | 56.6 | 500 | 17th | |
| AIME 2025 | 47.6 | 472 | 21th | |
| LiveCodeBench | 43.3 | 513 | 15th | |
| IFEval | 67.1 | 503 | 16th | |
| TruthfulQA | 60.1 | 528 | 12th | |
| HellaSwag | 71.9 | 502 | 16th | |
| MMMU | 53.8 | 511 | 15th | |
| Arena Elo | 1243.2 | 502 | 16th |
What Mistral Large 3 1.5B is good for
Mistral Large 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 $0.82 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.82 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 Novita 8B | Novita AI | 16384 | $0.99 | 55.5 |
| Seed-OSS 7B | ByteDance | 8192 | $0.85 | 55.5 |
| Llama 3 Lambda 7B | Lambda | 8192 | $0.84 | 55.4 |
| Mistral Large 3 1.5B | Mistral AI | 32768 | $0.82 | 55.4 |
| Mixtral 8B | Mistral AI | 8192 | $0.91 | 55.4 |
| Llama 3 Baseten 7B | Baseten | 32768 | $0.87 | 55.3 |
FAQ
How much does Mistral Large 3 1.5B cost?
Mistral Large 3 1.5B is listed at $0.82 per million input tokens and $3.17 per million output tokens. Cached input is $0.12 per million tokens. A blended 3:1 input-to-output mix is about $1.41 per million tokens.
What is the context window of Mistral Large 3 1.5B?
Mistral Large 3 1.5B has a context window of 32,768 tokens and can emit up to 4,096 output tokens per request in this index.
Is Mistral Large 3 1.5B open weights?
Yes. Mistral Large 3 1.5B is listed as an open-weight model under a open weights licence.
How does Mistral Large 3 1.5B score on benchmarks?
Mistral Large 3 1.5B averages 55.4 across the scored benchmarks in this index, ranking #517 of 600 models. Its strongest relative result is Arena Elo at 1243.2.
What is Mistral Large 3 1.5B best for?
Mistral Large 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 $0.82 per million input tokens it can handle a large share of production traffic.