Claude Haiku 3 vs Mistral Small 3.1 24B vs Mixtral 8x7B
Mistral Small 3.1 24B comes out ahead, 55 to 47 and 37 on our weighted score, and it is the cheaper option too.
Anthropic
Claude Haiku 3
47/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
- Our pick
Mistral AI
Mistral Small 3.1 24B
55/100- ECI127.5
- Price$0.229 / $0.436
- Context128K
Mistral AI
Mixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
Mistral Small 3.1 24B is our pick
Mistral Small 3.1 24B is the better all-round choice, scoring 55/100 against Claude Haiku 3 (47) and Mixtral 8x7B (37). It leads on capability and price. Claude Haiku 3 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral Small 3.1 24BCapabilities Index (ECI): Mistral Small 3.1 24B 127.5 · Mixtral 8x7B 118.5 · Claude Haiku 3 118.4
- Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral Small 3.1 24B 128,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Mistral Small 3.1 24B: Text, Images · Mixtral 8x7B: Text
- Self-hostingMistral Small 3.1 24B and Mixtral 8x7BPublishes downloadable weights
| Measure | Weight | Claude Haiku 3 | Mistral Small 3.1 24B | Mixtral 8x7B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 50 | 38 |
| Price | 25% | 64 | 76 | 57 |
| Inputs & features | 15% | 60 | 60 | 25 |
| Context window | 10% | 32 | 24 | 0 |
| Overall | 100% | 47/100 | 55/100 | 37/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 127.5 (best) | 118.5 |
| ECI rank | #143 of 148 | #132 of 148 (best) | #142 of 148 |
| GPQA DiamondGraduate-level science questions | 36.3% | 47.5% (best) | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% | 5.8% (best) | — |
| Price per million tokens | |||
| Input | $0.25 | $0.229 (best) | $0.70 |
| Output | $1.25 | $0.436 (best) | $0.70 |
| Cached input | — | — | — |
| Blended (3:1) | $0.50 | $0.281 (best) | $0.70 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers | Official Mistral API |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 32,000 tokens |
| Max output | 4,096 tokens | 16,384 tokens | 32,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | — | open-mixtral-8x7b |
| API providers | 2 (best) | 2 (best) | 1 |
| Released | Mar 13, 2024 | Mar 17, 2025 | Dec 11, 2023 |
| Knowledge cutoff | Aug 31, 2023 | Jun 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$5.00
Mistral Small 3.1 24B$3.16
Mixtral 8x7B$8.40
Which should you choose?
Which is better: Claude Haiku 3, Mistral Small 3.1 24B or Mixtral 8x7B?
Mistral Small 3.1 24B is the better all-round choice, scoring 55/100 against Claude Haiku 3 (47) and Mixtral 8x7B (37). It leads on capability and price. Claude Haiku 3 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 3, Mistral Small 3.1 24B or Mixtral 8x7B?
Mistral Small 3.1 24B is cheaper at $0.229 input / $0.436 output per million tokens (median across 2 API providers). Claude Haiku 3 costs $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). At a typical mix of three input tokens to one output token, that is $0.281 per million tokens for Mistral Small 3.1 24B versus $0.50 for Claude Haiku 3 (1.8× as much) and $0.70 for Mixtral 8x7B (2.5× as much).
Which scores higher on benchmarks?
Mistral Small 3.1 24B scores higher on the Capabilities Index (ECI): Mistral Small 3.1 24B 127.5 (#132 of 148), Mixtral 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). Their confidence ranges do not overlap (122.6–129.4 vs 111.3–121.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3, Mistral Small 3.1 24B and Mixtral 8x7B yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.1 24B 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?
Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for Mistral Small 3.1 24B and 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 3 up to 4,096, Mistral Small 3.1 24B up to 16,384, Mixtral 8x7B up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3 accepts text, images and PDFs; Mistral Small 3.1 24B accepts text and images; Mixtral 8x7B accepts text. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Mistral Small 3.1 24B and Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Mistral Small 3.1 24B is the newest, released Mar 17, 2025. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Mistral Small 3.1 24B Jun 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.