Mixtral 8x7B Instruct v0.1 vs Mistral 7B Instruct v0.3
Too close to call on our weighted score (Mixtral 8x7B Instruct v0.1 25, Mistral 7B Instruct v0.3 22). The right pick depends on what you value most.
Mistral AIMixtral 8x7B Instruct v0.1
25/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
- Mistral AI
Mistral 7B Instruct v0.3
22/100- ECI109.0
- Price—
- Context33K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Mixtral 8x7B Instruct v0.1 25/100, Mistral 7B Instruct v0.3 22/100), so choose by what matters most for your work: Mixtral 8x7B Instruct v0.1 for raw capability. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityMixtral 8x7B Instruct v0.1Capabilities Index (ECI): Mixtral 8x7B Instruct v0.1 118.4 · Mistral 7B Instruct v0.3 109.0
- Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 per 1M tokens (3:1 blend) · Mistral 7B Instruct v0.3 unpriced
- Longest contextAbout the sameMixtral 8x7B Instruct v0.1 32,768 · Mistral 7B Instruct v0.3 32,768 tokens
- Widest inputsSame inputsMixtral 8x7B Instruct v0.1: Text · Mistral 7B Instruct v0.3: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mixtral 8x7B Instruct v0.1 | Mistral 7B Instruct v0.3 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 38 | 26 |
| Inputs & features | 20% | 0 | 25 |
| Context window | 13% | 0 | 0 |
| Overall | 100% | 25/100 | 22/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mixtral 8x7B Instruct v0.1Mistral AI | Mistral 7B Instruct v0.3Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 118.4 (best) | 109.0 |
| ECI rank | #160 of 165 (best) | #164 of 165 |
| GPQA DiamondGraduate-level science questions | 30.6% (best) | 15.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 0.3% |
| Price per million tokens | ||
| Input | $0.444 | — |
| Output | $0.579 | — |
| Cached input | — | — |
| Blended (3:1) | $0.478 | — |
| Long-context rate | Same rate | — |
| Price source | Median of 2 providers | — |
| Limits | ||
| Context window | 32,768 tokens | 32,768 tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | OpenApache 2.0 |
| API model ID | — | — |
| API providers | 2 (best) | 1 |
| Released | Dec 11, 2023 | May 22, 2024 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mixtral 8x7B Instruct v0.1$5.60
- Mistral 7B Instruct v0.3—
Which should you choose?
Which is better: Mixtral 8x7B Instruct v0.1 or Mistral 7B Instruct v0.3?
It is close. Our weighted score puts them within 3 points (Mixtral 8x7B Instruct v0.1 25/100, Mistral 7B Instruct v0.3 22/100), so choose by what matters most for your work: Mixtral 8x7B Instruct v0.1 for raw capability. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Mixtral 8x7B Instruct v0.1 or Mistral 7B Instruct v0.3?
Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 API providers). . At a typical mix of three input tokens to one output token, that is $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus . Mistral 7B Instruct v0.3 has no published per-token price.
Which scores higher on benchmarks?
Mixtral 8x7B Instruct v0.1 scores higher on the Capabilities Index (ECI): Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165) and Mistral 7B Instruct v0.3 109.0 (#164 of 165). The confidence ranges of the top two overlap (110.9–121.0 vs 98.5–112.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mixtral 8x7B Instruct v0.1 30.6%, Mistral 7B Instruct v0.3 15.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1 and Mistral 7B Instruct v0.3 yet, so there is no like-for-like coding score. On overall capability, Mixtral 8x7B Instruct v0.1 leads, which tends to carry over to coding, but test on your own codebase. Note that Mixtral 8x7B Instruct v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mixtral 8x7B Instruct v0.1 and Mistral 7B Instruct v0.3 share the same 32,768-token context window. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Mistral 7B Instruct v0.3 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B Instruct v0.1 accepts text; Mistral 7B Instruct v0.3 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Mistral 7B Instruct v0.3 is the newest, released May 22, 2024. Mixtral 8x7B Instruct v0.1 came out Dec 11, 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 Nov 2, 2026.
Related comparisons
- Add Claude Haiku 3Three-way comparison
- Mixtral 8x7B Instruct v0.1 vs Claude Haiku 3Anthropic · ECI 118.8
- Mixtral 8x7B Instruct v0.1 vs Gemma 2 27BGoogle · ECI 122.1
- Mixtral 8x7B Instruct v0.1 vs Llama-3.1-70B-InstructMeta · ECI 125.9
- Mixtral 8x7B Instruct v0.1 vs GPT-4o miniOpenAI · ECI 126.5
- Mistral 7B Instruct v0.3 vs Llama-3.1-8B-InstructMeta · ECI 116.4
- Mistral 7B Instruct v0.3 vs Claude Haiku 3Anthropic · ECI 118.8
