Llama-3.3-70B-Instruct vs Voxtral Small 24B 2507 vs Mistral Small 3.1 24B
Too close to call on our weighted score (Voxtral Small 24B 2507 55, Mistral Small 3.1 24B 53, Llama-3.3-70B-Instruct 41). The right pick depends on what you value most.
MetaLlama-3.3-70B-Instruct
41/100- ECI127.3
- Price$0.59 / $0.753
- Context128K
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
- Mistral AI
Mistral Small 3.1 24B
53/100- ECI127.5
- Price$0.351 / $0.555
- Context128K
Too close to call
It is close. Our weighted score puts them within 2 points (Voxtral Small 24B 2507 55/100, Mistral Small 3.1 24B 53/100, Llama-3.3-70B-Instruct 41/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price. 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.175 · Mistral Small 3.1 24B $0.402 · Llama-3.3-70B-Instruct $0.631 per 1M tokens (3:1 blend)
- Longest contextLlama-3.3-70B-Instruct and Mistral Small 3.1 24BLlama-3.3-70B-Instruct 128,000 · Mistral Small 3.1 24B 128,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507 and Mistral Small 3.1 24BLlama-3.3-70B-Instruct: Text · Voxtral Small 24B 2507: Text, Audio · Mistral Small 3.1 24B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama-3.3-70B-Instruct | Voxtral Small 24B 2507 | Mistral Small 3.1 24B |
|---|---|---|---|---|
| Price | 50% | 57 | 82 | 66 |
| Inputs & features | 30% | 25 | 45 | 50 |
| Context window | 20% | 24 | 0 | 24 |
| Overall | 100% | 41/100 | 55/100 | 53/100 |
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 | Llama-3.3-70B-InstructMeta | Voxtral Small 24B 2507Mistral AI | Mistral Small 3.1 24BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.3 | — | 127.5 (best) |
| ECI rank | #146 of 165 | — | #145 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 47.4% | — | 47.5% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 5.1% | — | 5.8% (best) |
| Price per million tokens | |||
| Input | $0.59 | $0.10 (best) | $0.351 |
| Output | $0.753 | $0.40 (best) | $0.555 |
| Cached input | — | — | — |
| Blended (3:1) | $0.631 | $0.175 (best) | $0.402 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 37 providers | Official Mistral API | Median of 9 providers |
| Limits | |||
| Context window | 128,000 tokens (best) | 32,768 tokens | 128,000 tokens (best) |
| Max output | 4,096 tokens | 32,768 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Open |
| API model ID | — | voxtral-small-latest | — |
| API providers | 40 (best) | 10 | 9 |
| Released | Dec 6, 2024 | Jul 15, 2025 | Mar 17, 2025 |
| Knowledge cutoff | Dec 2023 | — | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama-3.3-70B-Instruct$7.41
- Voxtral Small 24B 2507$1.80
- Mistral Small 3.1 24B$4.62
Which should you choose?
Which is better: Llama-3.3-70B-Instruct, Voxtral Small 24B 2507 or Mistral Small 3.1 24B?
It is close. Our weighted score puts them within 2 points (Voxtral Small 24B 2507 55/100, Mistral Small 3.1 24B 53/100, Llama-3.3-70B-Instruct 41/100), so choose by what matters most for your work: Voxtral Small 24B 2507 on price. 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, Llama-3.3-70B-Instruct, Voxtral Small 24B 2507 or Mistral Small 3.1 24B?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral API price). Mistral Small 3.1 24B costs $0.351 input / $0.555 output per million tokens (median across 9 API providers); Llama-3.3-70B-Instruct costs $0.59 input / $0.753 output per million tokens (median across 37 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Voxtral Small 24B 2507 versus $0.402 for Mistral Small 3.1 24B (2.3× as much) and $0.631 for Llama-3.3-70B-Instruct (3.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Llama-3.3-70B-Instruct has an ECI of 127.3, Voxtral Small 24B 2507 has not been scored yet and Mistral Small 3.1 24B has an ECI of 127.5.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct, Voxtral Small 24B 2507 and Mistral Small 3.1 24B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Llama-3.3-70B-Instruct and Mistral Small 3.1 24B have the largest context windows (128,000 and 128,000 tokens), against 32,768 for Voxtral Small 24B 2507. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Voxtral Small 24B 2507 up to 32,768, Mistral Small 3.1 24B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Llama-3.3-70B-Instruct accepts text; Voxtral Small 24B 2507 accepts text and audio; Mistral Small 3.1 24B accepts text and images. Voxtral Small 24B 2507 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Voxtral Small 24B 2507 is the newest, released Jul 15, 2025. Mistral Small 3.1 24B came out Mar 17, 2025; Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Mistral Small 3.1 24B Jun 2024.
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 Nov 2, 2026.
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