Model comparison
Mistral Small 3.2 vs Llama 3.3 70B
- Input
- $0.10
- Output
- $0.30
- Context
- 128K
- Released
- 2025-06-20
- Input
- $1.04
- Output
- $1.04
- Context
- 128K
- Released
- 2024-12-06
Llama 3.3 70B scores higher on 3 of the 4 benchmarks both models report (the other leads on 1); Mistral Small 3.2 is cheaper on input tokens ($0.1 vs $1 per 1M, 10.4×).
Specs and pricing side by side
| Spec | Mistral Small 3.2 | Llama 3.3 70B |
|---|---|---|
| Maker | Mistral AI | Meta |
| Released | 2025-06-20 | 2024-12-06 |
| Context window | 128K | 128Ksame |
| Input price | $0.10 | $1.04 |
| Output price | $0.30 | $1.04 |
| Parameters | 24B | 70B |
| License | Apache 2.0 | Llama 3.3 Community License Agreement |
| Weights | Open weights | Open weightssame |
| Modalities | Text, Vision | Text |
| Knowledge cutoff | October 2023 | 2023-12 |
Not published by either maker: max output.
Benchmarks both models report
| Benchmark | Mistral Small 3.2 | Llama 3.3 70B |
|---|---|---|
| MMLU | 80.5% | 86% |
| MMLU Pro | 69.06% | 68.9% |
| MATH | 69.42% | 77% |
| GPQA Diamond | 46.13% | 50.5% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Mistral Small 3.2 if…
- You care about MMLU Pro (it scores higher on 1 shared benchmark).
- Cost matters: input tokens cost 10.4× less ($0.1 vs $1 per 1M).
- You need Vision input, which Llama 3.3 70B lacks.
- Your use case is: self-hosted chat assistants and internal copilots where data must stay on-premise.
Pick Llama 3.3 70B if…
- You care about MMLU, MATH, GPQA Diamond (it scores higher on 3 shared benchmarks).
- Your use case is: cost-efficient self-hosted or API chat assistants needing frontier-class quality below 405B.
FAQ
Which is better, Mistral Small 3.2 or Llama 3.3 70B?
Llama 3.3 70B scores higher on 3 of the 4 benchmarks both models report (the other leads on 1); Mistral Small 3.2 is cheaper on input tokens ($0.1 vs $1 per 1M, 10.4×). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Mistral Small 3.2?
Mistral Small 3.2: $0.10 input, $0.30 output. Llama 3.3 70B: $1.04 input, $1.04 output (list API prices as published by each maker).
What are the context windows of Mistral Small 3.2 and Llama 3.3 70B?
Mistral Small 3.2 offers 128K; Llama 3.3 70B offers 128K.
Is Mistral Small 3.2 newer than Llama 3.3 70B?
Mistral Small 3.2 was released 2025-06-20; Llama 3.3 70B was released 2024-12-06.
Go deeper
- Mistral Small 3.2: full specs, pricing and benchmarks
- Llama 3.3 70B: full specs, pricing and benchmarks
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