Mixtral 8x7B vs Qwen3 Max vs Claude Haiku 3
Too close to call on our weighted score (Qwen3 Max 50, Claude Haiku 3 47, Mixtral 8x7B 37). The right pick depends on what you value most.
Mistral AIMixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
Alibaba (Qwen)Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
AnthropicClaude Haiku 3
47/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3 Max 50/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Qwen3 Max for raw capability and Claude Haiku 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · Mixtral 8x7B 118.5 · Claude Haiku 3 118.4
- Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
- Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Haiku 3 200,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 3Mixtral 8x7B: Text · Qwen3 Max: Text · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7BPublishes downloadable weights
| Measure | Weight | Mixtral 8x7B | Qwen3 Max | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 68 | 38 |
| Price | 25% | 57 | 32 | 64 |
| Inputs & features | 15% | 25 | 25 | 60 |
| Context window | 10% | 0 | 37 | 32 |
| Overall | 100% | 37/100 | 50/100 | 47/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mixtral 8x7BMistral AI | Qwen3 MaxAlibaba (Qwen) | Claude Haiku 3Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.5 | 142.4 (best) | 118.4 |
| ECI rank | #142 of 148 | #91 of 148 (best) | #143 of 148 |
| GPQA DiamondGraduate-level science questions | 30.6% | 72.6% (best) | 36.3% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 19.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 73.3% (best) | 1.8% |
| SimpleQA VerifiedShort factual questions | — | 48.8% | — |
| Price per million tokens | |||
| Input | $0.70 | $1.20 | $0.25 (best) |
| Output | $0.70 (best) | $6.00 | $1.25 |
| Cached input | — | — | — |
| Blended (3:1) | $0.70 | $2.40 | $0.50 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API | Median of 2 providers |
| Limits | |||
| Context window | 32,000 tokens | 262,144 tokens (best) | 200,000 tokens |
| Max output | 32,000 tokens | 65,536 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | open-mixtral-8x7b | qwen3-max | — |
| API providers | 1 | 16 (best) | 2 |
| Released | Dec 11, 2023 | Sep 23, 2025 | Mar 13, 2024 |
| Knowledge cutoff | Jan 2024 | Apr 2025 | Aug 31, 2023 |
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
- Qwen3 Max$24.00
- Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B, Qwen3 Max or Claude Haiku 3?
It is close. Our weighted score puts them within 2 points (Qwen3 Max 50/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Qwen3 Max for raw capability and Claude Haiku 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x7B, Qwen3 Max or Claude Haiku 3?
Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 2 API providers). Mixtral 8x7B costs $0.70 input / $0.70 output per million tokens (official Mistral API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.50 per million tokens for Claude Haiku 3 versus $0.70 for Mixtral 8x7B (1.4× as much) and $2.40 for Qwen3 Max (4.8× as much).
Which scores higher on benchmarks?
Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148), Mixtral 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). Their confidence ranges do not overlap (140.0–144.6 vs 111.3–121.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B, Qwen3 Max and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 3 and 32,000 for Mixtral 8x7B. Maximum output per response: Mixtral 8x7B up to 32,000, Qwen3 Max up to 65,536, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B accepts text; Qwen3 Max accepts text; Claude Haiku 3 accepts text, images and PDFs. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Mixtral 8x7B publishes its weights and can be self-hosted; Qwen3 Max and Claude Haiku 3 is proprietary.
Which is newer?
Qwen3 Max is the newest, released Sep 23, 2025. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x7B Jan 2024, Qwen3 Max Apr 2025, Claude Haiku 3 Aug 31, 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.
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