Mixtral 8x7B vs Nova Pro vs Claude Haiku 3
Too close to call on our weighted score (Nova Pro 48, Claude Haiku 3 47, Mixtral 8x7B 37). The right pick depends on what you value most.
Mistral AIMixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
AmazonNova Pro
48/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
AnthropicClaude Haiku 3
47/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
Too close to call
It is close. Our weighted score puts them within a point (Nova Pro 48/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Nova Pro for raw capability and Claude Haiku 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityNova ProCapabilities Index (ECI): Nova Pro 123.8 · Mixtral 8x7B 118.5 · Claude Haiku 3 118.4
- Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 · Nova Pro $1.40 per 1M tokens (3:1 blend)
- Longest contextNova ProNova Pro 300,000 · Claude Haiku 3 200,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsNova ProMixtral 8x7B: Text · Nova Pro: Text, Images, PDFs, Video · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7BPublishes downloadable weights
| Measure | Weight | Mixtral 8x7B | Nova Pro | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 45 | 38 |
| Price | 25% | 57 | 43 | 64 |
| Inputs & features | 15% | 25 | 70 | 60 |
| Context window | 10% | 0 | 39 | 32 |
| Overall | 100% | 37/100 | 48/100 | 47/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mixtral 8x7BMistral AI | Nova ProAmazon | Claude Haiku 3Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.5 | 123.8 (best) | 118.4 |
| ECI rank | #142 of 148 | #137 of 148 (best) | #143 of 148 |
| GPQA DiamondGraduate-level science questions | 30.6% | — | 36.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 1.8% |
| Price per million tokens | |||
| Input | $0.70 | $0.80 | $0.25 (best) |
| Output | $0.70 (best) | $3.20 | $1.25 |
| Cached input | — | $0.20 | — |
| Blended (3:1) | $0.70 | $1.40 | $0.50 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Amazon Bedrock API | Median of 2 providers |
| Limits | |||
| Context window | 32,000 tokens | 300,000 tokens (best) | 200,000 tokens |
| Max output | 32,000 tokens (best) | 10,000 tokens | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | open-mixtral-8x7b | amazon.nova-pro-v1:0 | — |
| API providers | 1 | 3 (best) | 2 |
| Released | Dec 11, 2023 | Dec 3, 2024 | Mar 13, 2024 |
| Knowledge cutoff | Jan 2024 | Oct 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$8.40
- Nova Pro$14.40
- Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B, Nova Pro or Claude Haiku 3?
It is close. Our weighted score puts them within a point (Nova Pro 48/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Nova Pro for raw capability and Claude Haiku 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x7B, Nova Pro or Claude Haiku 3?
Claude Haiku 3 is cheaper at $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); Nova Pro costs $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). At a typical mix of three input tokens to one output token, that is $0.50 per million tokens for Claude Haiku 3 versus $0.70 for Mixtral 8x7B (1.4× as much) and $1.40 for Nova Pro (2.8× as much).
Which scores higher on benchmarks?
Nova Pro scores higher on the Capabilities Index (ECI): Nova Pro 123.8 (#137 of 148), Mixtral 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). The confidence ranges of the top two overlap (108.8–126.6 vs 111.3–121.3), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B, Nova Pro and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Nova Pro 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?
Nova Pro has the largest context window at 300,000 tokens, against 200,000 for Claude Haiku 3 and 32,000 for Mixtral 8x7B. Maximum output per response: Mixtral 8x7B up to 32,000, Nova Pro up to 10,000, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B accepts text; Nova Pro accepts text, images, PDFs and video; Claude Haiku 3 accepts text, images and PDFs. Nova Pro handles the widest range of inputs.
Are any of these open source?
Mixtral 8x7B publishes its weights and can be self-hosted; Nova Pro and Claude Haiku 3 is proprietary.
Which is newer?
Nova Pro is the newest, released Dec 3, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x7B Jan 2024, Nova Pro Oct 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 Oct 4, 2026.
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