Claude Haiku 3.5 vs Mixtral 8x7B
Claude Haiku 3.5 comes out ahead, 49 to 31 on our weighted score.
- Our pick
Anthropic
Claude Haiku 3.5
49/100- ECI127.2
- Price—
- Context200K
Mistral AI
Mixtral 8x7B
31/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
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Make it a three-way comparison.
Claude Haiku 3.5 is our pick
Claude Haiku 3.5 is the better all-round choice, scoring 49/100 against Mixtral 8x7B (31). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityClaude Haiku 3.5Capabilities Index (ECI): Claude Haiku 3.5 127.2 · Mixtral 8x7B 118.5
- Lowest priceMixtral 8x7BMixtral 8x7B $0.70 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Mixtral 8x7B: Text
- Self-hostingMixtral 8x7BPublishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Mixtral 8x7B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 49 | 38 |
| Inputs & features | 20% | 60 | 25 |
| Context window | 13% | 32 | 0 |
| Overall | 100% | 49/100 | 31/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 127.2 (best) | 118.5 |
| ECI rank | #134 of 148 (best) | #142 of 148 |
| GPQA DiamondGraduate-level science questions | 38.1% (best) | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | — |
| Price per million tokens | ||
| Input | — | $0.70 |
| Output | — | $0.70 |
| Cached input | — | — |
| Blended (3:1) | — | $0.70 |
| Long-context rate | — | Same rate |
| Price source | — | Official Mistral API |
| Limits | ||
| Context window | 200,000 tokens (best) | 32,000 tokens |
| Max output | 8,192 tokens | 32,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | open-mixtral-8x7b |
| API providers | — | 1 |
| Released | Oct 22, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Jul 31, 2024 | Jan 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Claude Haiku 3.5—
Mixtral 8x7B$8.40
Which should you choose?
Which is better: Claude Haiku 3.5 or Mixtral 8x7B?
Claude Haiku 3.5 is the better all-round choice, scoring 49/100 against Mixtral 8x7B (31). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Haiku 3.5 or Mixtral 8x7B?
Mixtral 8x7B is cheaper at $0.70 input / $0.70 output per million tokens (official Mistral API price). . At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Mixtral 8x7B versus . Claude Haiku 3.5 has no published per-token price.
Which scores higher on benchmarks?
Claude Haiku 3.5 scores higher on the Capabilities Index (ECI): Claude Haiku 3.5 127.2 (#134 of 148) and Mixtral 8x7B 118.5 (#142 of 148). The confidence ranges of the top two overlap (120.7–129.7 vs 111.3–121.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3.5 38.1%, Mixtral 8x7B 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3.5 and Mixtral 8x7B yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3.5 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 3.5 up to 8,192, Mixtral 8x7B up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Mixtral 8x7B accepts text. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 3.5 is proprietary.
Which is newer?
Claude Haiku 3.5 is the newest, released Oct 22, 2024. Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Mixtral 8x7B Jan 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 Oct 4, 2026.