Claude Haiku 3.5 vs Llama 4 Scout 17B Instruct vs Mistral Small 3.1 24B
Llama 4 Scout 17B Instruct comes out ahead, 58 to 49 and 48 on our weighted score, though Mistral Small 3.1 24B is 18% cheaper per token.
AnthropicClaude Haiku 3.5
49/100- ECI127.2
- Price—
- Context200K
- Our pick
MetaLlama 4 Scout 17B Instruct
58/100- ECI129.7
- Price$0.225 / $0.69
- Context10M
Mistral AIMistral Small 3.1 24B
48/100- ECI127.5
- Price$0.229 / $0.436
- Context128K
Llama 4 Scout 17B Instruct is our pick
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 58/100 against Claude Haiku 3.5 (49) and Mistral Small 3.1 24B (48). It leads on capability and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityLlama 4 Scout 17B InstructCapabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 · Mistral Small 3.1 24B 127.5 · Claude Haiku 3.5 127.2
- Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · Llama 4 Scout 17B Instruct $0.341 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
- Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Claude Haiku 3.5 200,000 · Mistral Small 3.1 24B 128,000 tokens
- Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Llama 4 Scout 17B Instruct: Text, Images · Mistral Small 3.1 24B: Text, Images
- Self-hostingLlama 4 Scout 17B Instruct and Mistral Small 3.1 24BPublishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Llama 4 Scout 17B Instruct | Mistral Small 3.1 24B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 49 | 52 | 50 |
| Inputs & features | 20% | 60 | 50 | 60 |
| Context window | 13% | 32 | 100 | 24 |
| Overall | 100% | 49/100 | 58/100 | 48/100 |
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 | Claude Haiku 3.5Anthropic | Llama 4 Scout 17B InstructMeta | Mistral Small 3.1 24BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.2 | 129.7 (best) | 127.5 |
| ECI rank | #134 of 148 | #126 of 148 (best) | #132 of 148 |
| GPQA DiamondGraduate-level science questions | 38.1% | 51.8% (best) | 47.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | 7.8% (best) | 5.8% |
| Price per million tokens | |||
| Input | — | $0.225 (best) | $0.229 |
| Output | — | $0.69 | $0.436 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.341 | $0.281 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 4 providers | Median of 2 providers |
| Limits | |||
| Context window | 200,000 tokens | 10,000,000 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | — | — |
| API providers | — | 4 (best) | 2 |
| Released | Oct 22, 2024 | Apr 5, 2025 | Mar 17, 2025 |
| Knowledge cutoff | Jul 31, 2024 | Aug 2024 | Jun 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—
- Llama 4 Scout 17B Instruct$3.63
- Mistral Small 3.1 24B$3.16
Which should you choose?
Which is better: Claude Haiku 3.5, Llama 4 Scout 17B Instruct or Mistral Small 3.1 24B?
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 58/100 against Claude Haiku 3.5 (49) and Mistral Small 3.1 24B (48). It leads on capability and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Haiku 3.5, Llama 4 Scout 17B Instruct or Mistral Small 3.1 24B?
Mistral Small 3.1 24B is cheaper at $0.229 input / $0.436 output per million tokens (median across 2 API providers). Llama 4 Scout 17B Instruct costs $0.225 input / $0.69 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.281 per million tokens for Mistral Small 3.1 24B versus $0.341 for Llama 4 Scout 17B Instruct (1.2× as much). Claude Haiku 3.5 has no published per-token price.
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), Mistral Small 3.1 24B 127.5 (#132 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). The confidence ranges of the top two overlap (124.8–131.4 vs 122.6–129.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, Mistral Small 3.1 24B 47.5%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Llama 4 Scout 17B Instruct 7.8%, Mistral Small 3.1 24B 5.8%, Claude Haiku 3.5 4.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3.5, Llama 4 Scout 17B Instruct and Mistral Small 3.1 24B 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 3.5 and 128,000 for Mistral Small 3.1 24B. Maximum output per response: Claude Haiku 3.5 up to 8,192, Llama 4 Scout 17B Instruct up to 16,384, Mistral Small 3.1 24B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Llama 4 Scout 17B Instruct accepts text and images; Mistral Small 3.1 24B accepts text and images. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Llama 4 Scout 17B Instruct and Mistral Small 3.1 24B publishes its weights and can be self-hosted; Claude Haiku 3.5 is proprietary.
Which is newer?
Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Mistral Small 3.1 24B came out Mar 17, 2025; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Llama 4 Scout 17B Instruct Aug 2024, Mistral Small 3.1 24B Jun 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.
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