Claude Haiku 3 vs Ministral 3B vs Mixtral 8x7B
Too close to call on our weighted score (Ministral 3B 49, Claude Haiku 3 47, Mixtral 8x7B 37). The right pick depends on what you value most.
AnthropicClaude Haiku 3
47/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
Mistral AIMinistral 3B
49/100- ECI118.1
- Price$0.10 / $0.10
- Context128K
- Mistral AI
Mixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
Too close to call
It is close. Our weighted score puts them within 2 points (Ministral 3B 49/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Mixtral 8x7B for raw capability, Ministral 3B on price and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMixtral 8x7BCapabilities Index (ECI): Mixtral 8x7B 118.5 · Claude Haiku 3 118.4 · Ministral 3B 118.1
- Lowest priceMinistral 3BMinistral 3B $0.10 · Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Ministral 3B 128,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Ministral 3B: Text · Mixtral 8x7B: Text
- Self-hostingMinistral 3B and Mixtral 8x7BPublishes downloadable weights
| Measure | Weight | Claude Haiku 3 | Ministral 3B | Mixtral 8x7B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 38 | 38 |
| Price | 25% | 64 | 97 | 57 |
| Inputs & features | 15% | 60 | 25 | 25 |
| Context window | 10% | 32 | 24 | 0 |
| Overall | 100% | 47/100 | 49/100 | 37/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 3Anthropic | Ministral 3BMistral AI | Mixtral 8x7BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 118.1 | 118.5 (best) |
| ECI rank | #143 of 148 | #144 of 148 | #142 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 36.3% (best) | 25.3% | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.10 (best) | $0.70 |
| Output | $1.25 | $0.10 (best) | $0.70 |
| Cached input | — | — | — |
| Blended (3:1) | $0.50 | $0.10 (best) | $0.70 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 1 providers | Official Mistral API |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 32,000 tokens |
| Max output | 4,096 tokens | 8,192 tokens | 32,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | 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 | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | — | open-mixtral-8x7b |
| API providers | 2 (best) | 1 | 1 |
| Released | Mar 13, 2024 | Oct 16, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Aug 31, 2023 | Mar 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
- Ministral 3B$1.20
- Mixtral 8x7B$8.40
Which should you choose?
Which is better: Claude Haiku 3, Ministral 3B or Mixtral 8x7B?
It is close. Our weighted score puts them within 2 points (Ministral 3B 49/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Mixtral 8x7B for raw capability, Ministral 3B on price and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 3, Ministral 3B or Mixtral 8x7B?
Ministral 3B is cheaper at $0.10 input / $0.10 output per million tokens (median across 1 API provider). 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 $0.10 per million tokens for Ministral 3B versus $0.50 for Claude Haiku 3 (5× as much) and $0.70 for Mixtral 8x7B (7× as much).
Which scores higher on benchmarks?
Mixtral 8x7B scores higher on the Capabilities Index (ECI): Mixtral 8x7B 118.5 (#142 of 148), Claude Haiku 3 118.4 (#143 of 148) and Ministral 3B 118.1 (#144 of 148). The confidence ranges of the top two overlap (111.3–121.3 vs 110.5–121.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%, Ministral 3B 25.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3, Ministral 3B and Mixtral 8x7B yet, so there is no like-for-like coding score. On overall capability, Mixtral 8x7B 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 Ministral 3B and 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 3 up to 4,096, Ministral 3B up to 8,192, Mixtral 8x7B up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3 accepts text, images and PDFs; Ministral 3B accepts text; Mixtral 8x7B accepts text. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Ministral 3B and Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Ministral 3B is the newest, released Oct 16, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Ministral 3B Mar 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.
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