Mixtral 8x7B vs Claude Haiku 4.5
Claude Haiku 4.5 comes out ahead, 58 to 37 on our weighted score, though Mixtral 8x7B is 2.9× cheaper per token.
Mistral AI
Mixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
- Our pick
Anthropic
Claude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
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Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mixtral 8x7B (37). It leads on capability, inputs & features and context window. Mixtral 8x7B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Mixtral 8x7B 118.5
- Lowest priceMixtral 8x7BMixtral 8x7B $0.70 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 4.5Mixtral 8x7B: Text · Claude Haiku 4.5: Text, Images, PDFs
- Self-hostingMixtral 8x7BPublishes downloadable weights
| Measure | Weight | Mixtral 8x7B | Claude Haiku 4.5 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 69 |
| Price | 25% | 57 | 36 |
| Inputs & features | 15% | 25 | 80 |
| Context window | 10% | 0 | 32 |
| Overall | 100% | 37/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 118.5 | 142.4 (best) |
| ECI rank | #142 of 148 | #90 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 30.6% | 71.2% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 66.7% |
| SimpleQA VerifiedShort factual questions | — | 13.2% |
| Price per million tokens | ||
| Input | $0.70 (best) | $1.00 |
| Output | $0.70 (best) | $5.00 |
| Cached input | — | $0.10 |
| Blended (3:1) | $0.70 (best) | $2.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Anthropic API |
| Limits | ||
| Context window | 32,000 tokens | 200,000 tokens (best) |
| Max output | 32,000 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | open-mixtral-8x7b | claude-haiku-4-5 |
| API providers | 1 | 34 (best) |
| Released | Dec 11, 2023 | Oct 15, 2025 |
| Knowledge cutoff | Jan 2024 | Feb 28, 2025 |
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$8.40
Claude Haiku 4.5$20.00
Which should you choose?
Which is better: Mixtral 8x7B or Claude Haiku 4.5?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mixtral 8x7B (37). It leads on capability, inputs & features and context window. Mixtral 8x7B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x7B or Claude Haiku 4.5?
Mixtral 8x7B is cheaper at $0.70 input / $0.70 output per million tokens (official Mistral API price). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic 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 $2.00 for Claude Haiku 4.5 (2.9× as much).
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148) and Mixtral 8x7B 118.5 (#142 of 148). Their confidence ranges do not overlap (139.5–144.3 vs 111.3–121.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 4.5 71.2%, Mixtral 8x7B 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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 4.5 has the largest context window at 200,000 tokens, against 32,000 for Mixtral 8x7B. Maximum output per response: Mixtral 8x7B up to 32,000, Claude Haiku 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B accepts text; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x7B Jan 2024, Claude Haiku 4.5 Feb 28, 2025.
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.