Claude Haiku 3.5 vs Llama-3.3-70B-Instruct vs Mistral Small 3.1 24B
Too close to call on our weighted score (Claude Haiku 3.5 49, Mistral Small 3.1 24B 48, Llama-3.3-70B-Instruct 41). The right pick depends on what you value most.
AnthropicClaude Haiku 3.5
49/100- ECI127.2
- Price—
- Context200K
MetaLlama-3.3-70B-Instruct
41/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
Mistral AIMistral Small 3.1 24B
48/100- ECI127.5
- Price$0.229 / $0.436
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (Claude Haiku 3.5 49/100, Mistral Small 3.1 24B 48/100, Llama-3.3-70B-Instruct 41/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and Claude Haiku 3.5 for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityMistral Small 3.1 24BCapabilities Index (ECI): Mistral Small 3.1 24B 127.5 · Llama-3.3-70B-Instruct 127.3 · Claude Haiku 3.5 127.2
- Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · Llama-3.3-70B-Instruct $0.624 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Llama-3.3-70B-Instruct 128,000 · Mistral Small 3.1 24B 128,000 tokens
- Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Llama-3.3-70B-Instruct: Text · Mistral Small 3.1 24B: Text, Images
- Self-hostingLlama-3.3-70B-Instruct and Mistral Small 3.1 24BPublishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Llama-3.3-70B-Instruct | Mistral Small 3.1 24B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 49 | 49 | 50 |
| Inputs & features | 20% | 60 | 25 | 60 |
| Context window | 13% | 32 | 24 | 24 |
| Overall | 100% | 49/100 | 41/100 | 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-3.3-70B-InstructMeta | Mistral Small 3.1 24BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.2 | 127.3 | 127.5 (best) |
| ECI rank | #134 of 148 | #133 of 148 | #132 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 38.1% | 47.4% | 47.5% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | 5.1% | 5.8% (best) |
| Price per million tokens | |||
| Input | — | $0.59 | $0.229 (best) |
| Output | — | $0.724 | $0.436 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.624 | $0.281 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 21 providers | Median of 2 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 4,096 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | 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 | — | llama-3.3-70b-instruct | — |
| API providers | — | 24 (best) | 2 |
| Released | Oct 22, 2024 | Dec 6, 2024 | Mar 17, 2025 |
| Knowledge cutoff | Jul 31, 2024 | Dec 2023 | 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-3.3-70B-Instruct$7.35
- Mistral Small 3.1 24B$3.16
Which should you choose?
Which is better: Claude Haiku 3.5, Llama-3.3-70B-Instruct or Mistral Small 3.1 24B?
It is close. Our weighted score puts them within a point (Claude Haiku 3.5 49/100, Mistral Small 3.1 24B 48/100, Llama-3.3-70B-Instruct 41/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and Claude Haiku 3.5 for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Haiku 3.5, Llama-3.3-70B-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-3.3-70B-Instruct costs $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). 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 $0.624 for Llama-3.3-70B-Instruct (2.2× as much). Claude Haiku 3.5 has no published per-token price.
Which scores higher on benchmarks?
Mistral Small 3.1 24B scores higher on the Capabilities Index (ECI): Mistral Small 3.1 24B 127.5 (#132 of 148), Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). The confidence ranges of the top two overlap (122.6–129.4 vs 122.5–129.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, Llama-3.3-70B-Instruct 47.4%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Mistral Small 3.1 24B 5.8%, Llama-3.3-70B-Instruct 5.1%, 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-3.3-70B-Instruct and Mistral Small 3.1 24B yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.1 24B 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?
Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.3-70B-Instruct and 128,000 for Mistral Small 3.1 24B. Maximum output per response: Claude Haiku 3.5 up to 8,192, Llama-3.3-70B-Instruct up to 4,096, 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-3.3-70B-Instruct accepts text; 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-3.3-70B-Instruct and Mistral Small 3.1 24B publishes its weights and can be self-hosted; Claude Haiku 3.5 is proprietary.
Which is newer?
Mistral Small 3.1 24B is the newest, released Mar 17, 2025. Llama-3.3-70B-Instruct came out Dec 6, 2024; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Llama-3.3-70B-Instruct Dec 2023, 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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