Mixtral 8x7B Instruct v0.1 vs Mistral 7B Instruct v0.3 vs Claude Haiku 3
Claude Haiku 3 comes out ahead, 42 to 25 and 22 on our weighted score.
Mistral AIMixtral 8x7B Instruct v0.1
25/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
- Mistral AI
Mistral 7B Instruct v0.3
22/100- ECI109.0
- Price—
- Context33K
- Our pick
AnthropicClaude Haiku 3
42/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
Claude Haiku 3 is our pick
Claude Haiku 3 is the better all-round choice, scoring 42/100 against Mixtral 8x7B Instruct v0.1 (25) and Mistral 7B Instruct v0.3 (22). It leads on inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityClaude Haiku 3Capabilities Index (ECI): Claude Haiku 3 118.8 · Mixtral 8x7B Instruct v0.1 118.4 · Mistral 7B Instruct v0.3 109.0
- Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Claude Haiku 3 $0.50 per 1M tokens (3:1 blend) · Mistral 7B Instruct v0.3 unpriced
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mixtral 8x7B Instruct v0.1 32,768 · Mistral 7B Instruct v0.3 32,768 tokens
- Widest inputsClaude Haiku 3Mixtral 8x7B Instruct v0.1: Text · Mistral 7B Instruct v0.3: Text · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7B Instruct v0.1 and Mistral 7B Instruct v0.3Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Mixtral 8x7B Instruct v0.1 | Mistral 7B Instruct v0.3 | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 38 | 26 | 38 |
| Inputs & features | 20% | 0 | 25 | 60 |
| Context window | 13% | 0 | 0 | 32 |
| Overall | 100% | 25/100 | 22/100 | 42/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
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 7B Instruct v0.3Mistral AI | Claude Haiku 3Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 109.0 | 118.8 (best) |
| ECI rank | #160 of 165 | #164 of 165 | #156 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 30.6% | 15.2% | 36.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 0.3% | 1.8% (best) |
| Price per million tokens | |||
| Input | $0.444 | — | $0.25 (best) |
| Output | $0.579 (best) | — | $1.25 |
| Cached input | — | — | — |
| Blended (3:1) | $0.478 (best) | — | $0.50 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 2 providers | — | Median of 3 providers |
| Limits | |||
| Context window | 32,768 tokens | 32,768 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens (best) | 32,768 tokens (best) | 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 | 1 | 3 (best) |
| Released | Dec 11, 2023 | May 22, 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
- Mistral 7B Instruct v0.3—
- Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B Instruct v0.1, Mistral 7B Instruct v0.3 or Claude Haiku 3?
Claude Haiku 3 is the better all-round choice, scoring 42/100 against Mixtral 8x7B Instruct v0.1 (25) and Mistral 7B Instruct v0.3 (22). It leads on inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Mixtral 8x7B Instruct v0.1, Mistral 7B Instruct v0.3 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). 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). Mistral 7B Instruct v0.3 has no published per-token price.
Which scores higher on benchmarks?
Claude Haiku 3 scores higher on the Capabilities Index (ECI): Claude Haiku 3 118.8 (#156 of 165), Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165) and Mistral 7B Instruct v0.3 109.0 (#164 of 165). The confidence ranges of the top two overlap (111.7–121.4 vs 110.9–121.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mixtral 8x7B Instruct v0.1 30.6%, Mistral 7B Instruct v0.3 15.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1, Mistral 7B Instruct v0.3 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 32,768 for Mixtral 8x7B Instruct v0.1 and 32,768 for Mistral 7B Instruct v0.3. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Mistral 7B Instruct v0.3 up to 32,768, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B Instruct v0.1 accepts text; Mistral 7B Instruct v0.3 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 Mistral 7B Instruct v0.3 publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Mistral 7B Instruct v0.3 is the newest, released May 22, 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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