Mixtral 8x7B Instruct v0.1 vs Mistral Large vs Claude Haiku 3
Too close to call on our weighted score (Claude Haiku 3 46, Mistral Large 44, Mixtral 8x7B Instruct v0.1 34). The right pick depends on what you value most.
Mistral AIMixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
- Mistral AI
Mistral Large
44/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
AnthropicClaude Haiku 3
46/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
Too close to call
It is close. Our weighted score puts them within 3 points (Claude Haiku 3 46/100, Mistral Large 44/100, Mixtral 8x7B Instruct v0.1 34/100), so choose by what matters most for your work: Mistral Large for raw capability, Mixtral 8x7B Instruct v0.1 on price and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral LargeCapabilities Index (ECI): Mistral Large 122.0 · Claude Haiku 3 118.8 · Mixtral 8x7B Instruct v0.1 118.4
- Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Claude Haiku 3 $0.50 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral Large 128,000 · Mixtral 8x7B Instruct v0.1 32,768 tokens
- Widest inputsClaude Haiku 3Mixtral 8x7B Instruct v0.1: Text · Mistral Large: Text, PDFs · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7B Instruct v0.1Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Mixtral 8x7B Instruct v0.1 | Mistral Large | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 42 | 38 |
| Price | 25% | 62 | 53 | 61 |
| Inputs & features | 15% | 0 | 45 | 60 |
| Context window | 10% | 0 | 24 | 32 |
| Overall | 100% | 34/100 | 44/100 | 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 | Mistral LargeMistral AI | Claude Haiku 3Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 122.0 (best) | 118.8 |
| ECI rank | #160 of 165 | #153 of 165 (best) | #156 of 165 |
| GPQA DiamondGraduate-level science questions | 30.6% | 38.8% (best) | 36.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 1.9% (best) | 1.8% |
| Price per million tokens | |||
| Input | $0.444 | $0.50 | $0.25 (best) |
| Output | $0.579 (best) | $1.50 | $1.25 |
| Cached input | — | $0.05 | — |
| Blended (3:1) | $0.478 (best) | $0.75 | $0.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Mistral API | Median of 3 providers |
| Limits | |||
| Context window | 32,768 tokens | 128,000 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens | 102,400 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | Proprietary |
| API model ID | — | mistral-large-latest | — |
| API providers | 2 | 11 (best) | 3 |
| Released | Dec 11, 2023 | Feb 26, 2024 | Mar 13, 2024 |
| Knowledge cutoff | — | Nov 30, 2024 | 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
- Mistral Large$8.00
- Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B Instruct v0.1, Mistral Large or Claude Haiku 3?
It is close. Our weighted score puts them within 3 points (Claude Haiku 3 46/100, Mistral Large 44/100, Mixtral 8x7B Instruct v0.1 34/100), so choose by what matters most for your work: Mistral Large for raw capability, Mixtral 8x7B Instruct v0.1 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, Mixtral 8x7B Instruct v0.1, Mistral Large or Claude Haiku 3?
Mixtral 8x7B Instruct v0.1 is cheaper at $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); Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus $0.50 for Claude Haiku 3 (1× as much) and $0.75 for Mistral Large (1.6× as much).
Which scores higher on benchmarks?
Mistral Large scores higher on the Capabilities Index (ECI): Mistral Large 122.0 (#153 of 165), Claude Haiku 3 118.8 (#156 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (115.7–124.8 vs 111.7–121.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Claude Haiku 3 36.3%, 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, Mistral Large and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 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 128,000 for Mistral Large and 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Mistral Large up to 102,400, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B Instruct v0.1 accepts text; Mistral Large accepts text and PDFs; 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 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Large and Claude Haiku 3 is proprietary.
Which is newer?
Claude Haiku 3 is the newest, released Mar 13, 2024. Mistral Large came out Feb 26, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Mistral Large Nov 30, 2024, 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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