Mistral 7B vs Llama-3.2-3B
Too close to call on our weighted score (Llama-3.2-3B 49, Mistral 7B 47). The right pick depends on what you value most.
Mistral AIMistral 7B
47/100- ECI—
- Price$0.25 / $0.25
- Context8K
MetaLlama-3.2-3B
49/100- ECI—
- Price$0.10 / $0.335
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Llama-3.2-3B 49/100, Mistral 7B 47/100), so choose by what matters most for your work: Llama-3.2-3B on price and Llama-3.2-3B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceLlama-3.2-3BLlama-3.2-3B $0.159 · Mistral 7B $0.25 per 1M tokens (3:1 blend)
- Longest contextLlama-3.2-3BLlama-3.2-3B 131,072 · Mistral 7B 8,000 tokens
- Widest inputsSame inputsMistral 7B: Text · Llama-3.2-3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral 7B | Llama-3.2-3B |
|---|---|---|---|
| Price | 50% | 78 | 88 |
| Inputs & features | 30% | 25 | 0 |
| Context window | 20% | 0 | 24 |
| Overall | 100% | 47/100 | 49/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral 7BMistral AI | Llama-3.2-3BMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.25 | $0.10 (best) |
| Output | $0.25 (best) | $0.335 |
| Cached input | — | — |
| Blended (3:1) | $0.25 | $0.159 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 3 providers |
| Limits | ||
| Context window | 8,000 tokens | 131,072 tokens (best) |
| Max output | 8,000 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenLlama 3.2 Community License |
| API model ID | open-mistral-7b | — |
| API providers | 1 | 3 (best) |
| Released | Sep 27, 2023 | Sep 25, 2024 |
| Knowledge cutoff | Dec 2023 | Dec 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral 7B$3.00
- Llama-3.2-3B$1.67
Which should you choose?
Which is better: Mistral 7B or Llama-3.2-3B?
It is close. Our weighted score puts them within 2 points (Llama-3.2-3B 49/100, Mistral 7B 47/100), so choose by what matters most for your work: Llama-3.2-3B on price and Llama-3.2-3B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mistral 7B or Llama-3.2-3B?
Llama-3.2-3B is cheaper at $0.10 input / $0.335 output per million tokens (median across 3 API providers). Mistral 7B costs $0.25 input / $0.25 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.159 per million tokens for Llama-3.2-3B versus $0.25 for Mistral 7B (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral 7B has not been scored yet and Llama-3.2-3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral 7B and Llama-3.2-3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Llama-3.2-3B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Llama-3.2-3B has the largest context window at 131,072 tokens, against 8,000 for Mistral 7B. Maximum output per response: Mistral 7B up to 8,000, Llama-3.2-3B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral 7B accepts text; Llama-3.2-3B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Llama 3.2 Community License), so you can self-host them.
Which is newer?
Llama-3.2-3B is the newest, released Sep 25, 2024. Mistral 7B came out Sep 27, 2023. Knowledge cutoff: Mistral 7B Dec 2023, Llama-3.2-3B Dec 2023.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
