Claude Haiku 3 vs Nova Pro vs Mixtral 8x7B
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.
AnthropicClaude Haiku 3
47/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
AmazonNova Pro
48/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
Mistral AIMixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
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 ProClaude Haiku 3: Text, Images, PDFs · Nova Pro: Text, Images, PDFs, Video · Mixtral 8x7B: Text
- Self-hostingMixtral 8x7BPublishes downloadable weights
| Measure | Weight | Claude Haiku 3 | Nova Pro | Mixtral 8x7B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 45 | 38 |
| Price | 25% | 64 | 43 | 57 |
| Inputs & features | 15% | 60 | 70 | 25 |
| Context window | 10% | 32 | 39 | 0 |
| Overall | 100% | 47/100 | 48/100 | 37/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 3Anthropic | Nova ProAmazon | Mixtral 8x7BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 123.8 (best) | 118.5 |
| ECI rank | #143 of 148 | #137 of 148 (best) | #142 of 148 |
| GPQA DiamondGraduate-level science questions | 36.3% (best) | — | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% | — | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $0.80 | $0.70 |
| Output | $1.25 | $3.20 | $0.70 (best) |
| Cached input | — | $0.20 | — |
| Blended (3:1) | $0.50 (best) | $1.40 | $0.70 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Amazon Bedrock API | Official Mistral API |
| Limits | |||
| Context window | 200,000 tokens | 300,000 tokens (best) | 32,000 tokens |
| Max output | 4,096 tokens | 10,000 tokens | 32,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | amazon.nova-pro-v1:0 | open-mixtral-8x7b |
| API providers | 2 | 3 (best) | 1 |
| Released | Mar 13, 2024 | Dec 3, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Aug 31, 2023 | Oct 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
- Nova Pro$14.40
- Mixtral 8x7B$8.40
Which should you choose?
Which is better: Claude Haiku 3, Nova Pro or Mixtral 8x7B?
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, Claude Haiku 3, Nova Pro or Mixtral 8x7B?
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 Claude Haiku 3, Nova Pro and Mixtral 8x7B 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: Claude Haiku 3 up to 4,096, Nova Pro up to 10,000, Mixtral 8x7B up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3 accepts text, images and PDFs; Nova Pro accepts text, images, PDFs and video; Mixtral 8x7B accepts text. Nova Pro handles the widest range of inputs.
Are any of these open source?
Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 3 and Nova Pro 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: Claude Haiku 3 Aug 31, 2023, Nova Pro Oct 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.
Related comparisons
- Claude Haiku 3 vs Qwen2.5 7B InstructAlibaba (Qwen) · ECI 118.5
- Claude Haiku 3 vs Llama-3.1-8B-InstructMeta · ECI 116.6
- Claude Haiku 3 vs GPT-4o miniOpenAI · ECI 126.6
- Nova Pro vs Qwen2.5 32B InstructAlibaba (Qwen) · ECI 128.5
- Nova Pro vs Llama-3.3-70B-InstructMeta · ECI 127.3
- Nova Pro vs Mistral Large 2.1Mistral AI · ECI 128.5
