Mixtral 8x7B vs Llama 4 Scout 17B Instruct vs Claude Haiku 3
Llama 4 Scout 17B Instruct comes out ahead, 62 to 47 and 37 on our weighted score, and it is the cheaper option too.
Mistral AIMixtral 8x7B
37/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
- Our pick
MetaLlama 4 Scout 17B Instruct
62/100- ECI129.7
- Price$0.225 / $0.69
- Context10M
AnthropicClaude Haiku 3
47/100- ECI118.4
- Price$0.25 / $1.25
- Context200K
Llama 4 Scout 17B Instruct is our pick
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Claude Haiku 3 (47) and Mixtral 8x7B (37). It leads on capability, price and context window. Claude Haiku 3 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityLlama 4 Scout 17B InstructCapabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 · Mixtral 8x7B 118.5 · Claude Haiku 3 118.4
- Lowest priceLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct $0.341 · Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
- Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Claude Haiku 3 200,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsClaude Haiku 3Mixtral 8x7B: Text · Llama 4 Scout 17B Instruct: Text, Images · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7B and Llama 4 Scout 17B InstructPublishes downloadable weights
| Measure | Weight | Mixtral 8x7B | Llama 4 Scout 17B Instruct | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 52 | 38 |
| Price | 25% | 57 | 72 | 64 |
| Inputs & features | 15% | 25 | 50 | 60 |
| Context window | 10% | 0 | 100 | 32 |
| Overall | 100% | 37/100 | 62/100 | 47/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mixtral 8x7BMistral AI | Llama 4 Scout 17B InstructMeta | Claude Haiku 3Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.5 | 129.7 (best) | 118.4 |
| ECI rank | #142 of 148 | #126 of 148 (best) | #143 of 148 |
| GPQA DiamondGraduate-level science questions | 30.6% | 51.8% (best) | 36.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 7.8% (best) | 1.8% |
| Price per million tokens | |||
| Input | $0.70 | $0.225 (best) | $0.25 |
| Output | $0.70 | $0.69 (best) | $1.25 |
| Cached input | — | — | — |
| Blended (3:1) | $0.70 | $0.341 (best) | $0.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 4 providers | Median of 2 providers |
| Limits | |||
| Context window | 32,000 tokens | 10,000,000 tokens (best) | 200,000 tokens |
| Max output | 32,000 tokens (best) | 16,384 tokens | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | open-mixtral-8x7b | — | — |
| API providers | 1 | 4 (best) | 2 |
| Released | Dec 11, 2023 | Apr 5, 2025 | Mar 13, 2024 |
| Knowledge cutoff | Jan 2024 | Aug 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
- Llama 4 Scout 17B Instruct$3.63
- Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B, Llama 4 Scout 17B Instruct or Claude Haiku 3?
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Claude Haiku 3 (47) and Mixtral 8x7B (37). It leads on capability, price and context window. Claude Haiku 3 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x7B, Llama 4 Scout 17B Instruct or Claude Haiku 3?
Llama 4 Scout 17B Instruct is cheaper at $0.225 input / $0.69 output per million tokens (median across 4 API providers). 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 $0.341 per million tokens for Llama 4 Scout 17B Instruct versus $0.50 for Claude Haiku 3 (1.5× as much) and $0.70 for Mixtral 8x7B (2.1× as much).
Which scores higher on benchmarks?
Llama 4 Scout 17B Instruct scores higher on the Capabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 (#126 of 148), Mixtral 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). Their confidence ranges do not overlap (124.8–131.4 vs 111.3–121.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B, Llama 4 Scout 17B Instruct and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B Instruct 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?
Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 200,000 for Claude Haiku 3 and 32,000 for Mixtral 8x7B. Maximum output per response: Mixtral 8x7B up to 32,000, Llama 4 Scout 17B Instruct up to 16,384, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B accepts text; Llama 4 Scout 17B Instruct accepts text and images; 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 and Llama 4 Scout 17B Instruct publishes its weights and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x7B Jan 2024, Llama 4 Scout 17B Instruct Aug 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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