Mixtral 8x7B Instruct v0.1 vs Qwen2.5 7B Instruct vs Claude Haiku 3
Qwen2.5 7B Instruct comes out ahead, 50 to 46 and 34 on our weighted score, and it is the cheaper option too.
Mistral AIMixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
- Our pick
Alibaba (Qwen)Qwen2.5 7B Instruct
50/100- ECI118.5
- Price$0.05 / $0.10
- Context131K
AnthropicClaude Haiku 3
46/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
Qwen2.5 7B Instruct is our pick
Qwen2.5 7B Instruct is the better all-round choice, scoring 50/100 against Claude Haiku 3 (46) and Mixtral 8x7B Instruct v0.1 (34). It leads on price. Claude Haiku 3 wins on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 3Capabilities Index (ECI): Claude Haiku 3 118.8 · Qwen2.5 7B Instruct 118.5 · Mixtral 8x7B Instruct v0.1 118.4
- Lowest priceQwen2.5 7B InstructQwen2.5 7B Instruct $0.063 · Mixtral 8x7B Instruct v0.1 $0.478 · Claude Haiku 3 $0.50 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Qwen2.5 7B Instruct 131,072 · Mixtral 8x7B Instruct v0.1 32,768 tokens
- Widest inputsClaude Haiku 3Mixtral 8x7B Instruct v0.1: Text · Qwen2.5 7B Instruct: Text · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7B Instruct v0.1 and Qwen2.5 7B InstructPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Mixtral 8x7B Instruct v0.1 | Qwen2.5 7B Instruct | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 38 | 38 |
| Price | 25% | 62 | 100 | 61 |
| Inputs & features | 15% | 0 | 25 | 60 |
| Context window | 10% | 0 | 25 | 32 |
| Overall | 100% | 34/100 | 50/100 | 46/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mixtral 8x7B Instruct v0.1Mistral AI | Qwen2.5 7B InstructAlibaba (Qwen) | Claude Haiku 3Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 118.5 | 118.8 (best) |
| ECI rank | #160 of 165 | #159 of 165 | #156 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 30.6% | 35.5% | 36.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 2.5% (best) | 1.8% |
| Price per million tokens | |||
| Input | $0.444 | $0.05 (best) | $0.25 |
| Output | $0.579 | $0.10 (best) | $1.25 |
| Cached input | — | — | — |
| Blended (3:1) | $0.478 | $0.063 (best) | $0.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 3 providers | Median of 3 providers |
| Limits | |||
| Context window | 32,768 tokens | 131,072 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens (best) | 8,192 tokens | 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 | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache 2.0 | OpenApache 2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | 2 | 4 (best) | 3 |
| Released | Dec 11, 2023 | Sep 19, 2024 | Mar 13, 2024 |
| Knowledge cutoff | — | — | 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 Instruct v0.1$5.60
- Qwen2.5 7B Instruct$0.70
- Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B Instruct v0.1, Qwen2.5 7B Instruct or Claude Haiku 3?
Qwen2.5 7B Instruct is the better all-round choice, scoring 50/100 against Claude Haiku 3 (46) and Mixtral 8x7B Instruct v0.1 (34). It leads on price. Claude Haiku 3 wins on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x7B Instruct v0.1, Qwen2.5 7B Instruct or Claude Haiku 3?
Qwen2.5 7B Instruct is cheaper at $0.05 input / $0.10 output per million tokens (median across 3 API providers). Mixtral 8x7B Instruct v0.1 costs $0.444 input / $0.579 output per million tokens (median across 2 API providers); Claude Haiku 3 costs $0.25 input / $1.25 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.063 per million tokens for Qwen2.5 7B Instruct versus $0.478 for Mixtral 8x7B Instruct v0.1 (7.6× as much) and $0.50 for Claude Haiku 3 (8× as much).
Which scores higher on benchmarks?
Claude Haiku 3 scores higher on the Capabilities Index (ECI): Claude Haiku 3 118.8 (#156 of 165), Qwen2.5 7B Instruct 118.5 (#159 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (111.7–121.4 vs 110.6–121.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Qwen2.5 7B Instruct 35.5%, Mixtral 8x7B Instruct v0.1 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1, Qwen2.5 7B Instruct and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3 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?
Claude Haiku 3 has the largest context window at 200,000 tokens, against 131,072 for Qwen2.5 7B Instruct and 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Qwen2.5 7B Instruct up to 8,192, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B Instruct v0.1 accepts text; Qwen2.5 7B Instruct 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 Instruct v0.1 and Qwen2.5 7B Instruct publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Qwen2.5 7B Instruct is the newest, released Sep 19, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: 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 Nov 2, 2026.
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