Claude Haiku 3 vs Ministral 8B Instruct vs Mixtral 8x7B
Claude Haiku 3 comes out ahead, 46 to 42 and 33 on our weighted score, though Ministral 8B Instruct is 3.3× cheaper per token.
- Our pick
Anthropic
Claude Haiku 3
46/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
Mistral AI
Ministral 8B Instruct
42/100- ECI—
- Price$0.15 / $0.15
- Context131K
Mistral AI
Mixtral 8x7B
33/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
Claude Haiku 3 is our pick
Claude Haiku 3 is the better all-round choice, scoring 46/100 against Ministral 8B Instruct (42) and Mixtral 8x7B (33). It leads on capability, inputs & features and context window. Ministral 8B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.
- CapabilityClaude Haiku 3Shared benchmarks: Claude Haiku 3 36.3% · Mixtral 8x7B 30.6% · Ministral 8B Instruct 27.2%
- Lowest priceMinistral 8B InstructMinistral 8B Instruct $0.15 · Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Ministral 8B Instruct 131,072 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Ministral 8B Instruct: Text · Mixtral 8x7B: Text
- Self-hostingMinistral 8B Instruct and Mixtral 8x7BPublishes downloadable weights (Mistral Research License)
| Measure | Weight | Claude Haiku 3 | Ministral 8B Instruct | Mixtral 8x7B |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 36 | 27 | 31 |
| Price | 25% | 64 | 89 | 57 |
| Inputs & features | 15% | 60 | 25 | 25 |
| Context window | 10% | 32 | 24 | 0 |
| Overall | 100% | 46/100 | 42/100 | 33/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | — | 118.5 (best) |
| ECI rank | #143 of 148 | — | #142 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 36.3% (best) | 27.2% | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.15 (best) | $0.70 |
| Output | $1.25 | $0.15 (best) | $0.70 |
| Cached input | — | — | — |
| Blended (3:1) | $0.50 | $0.15 (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) | 131,072 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 | OpenMistral Research License | 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 | — | 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 8B Instruct$1.80
Mixtral 8x7B$8.40
Which should you choose?
Which is better: Claude Haiku 3, Ministral 8B Instruct or Mixtral 8x7B?
Claude Haiku 3 is the better all-round choice, scoring 46/100 against Ministral 8B Instruct (42) and Mixtral 8x7B (33). It leads on capability, inputs & features and context window. Ministral 8B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.
Which is cheaper, Claude Haiku 3, Ministral 8B Instruct or Mixtral 8x7B?
Ministral 8B Instruct is cheaper at $0.15 input / $0.15 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 $0.15 per million tokens for Ministral 8B Instruct versus $0.50 for Claude Haiku 3 (3.3× as much) and $0.70 for Mixtral 8x7B (4.7× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Claude Haiku 3 36.3%, Mixtral 8x7B 30.6% and Ministral 8B Instruct 27.2%. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%, Ministral 8B Instruct 27.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3, Ministral 8B Instruct and Mixtral 8x7B 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. 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 131,072 for Ministral 8B Instruct and 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 3 up to 4,096, Ministral 8B Instruct 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 8B Instruct accepts text; Mixtral 8x7B accepts text. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Ministral 8B Instruct and Mixtral 8x7B publishes its weights (Mistral Research License) and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Ministral 8B Instruct 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, 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.