Llama-3.3-70B-Instruct vs Claude Haiku 4.5 vs Mistral Small 3.1 24B
Claude Haiku 4.5 comes out ahead, 58 to 55 and 46 on our weighted score, though Mistral Small 3.1 24B is 7.1× cheaper per token.
MetaLlama-3.3-70B-Instruct
46/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
- Our pick
AnthropicClaude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Mistral AIMistral Small 3.1 24B
55/100- ECI127.5
- Price$0.229 / $0.436
- Context128K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mistral Small 3.1 24B (55) and Llama-3.3-70B-Instruct (46). It leads on capability, inputs & features and context window. Mistral Small 3.1 24B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Mistral Small 3.1 24B 127.5 · Llama-3.3-70B-Instruct 127.3
- Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · Llama-3.3-70B-Instruct $0.624 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · Llama-3.3-70B-Instruct 128,000 · Mistral Small 3.1 24B 128,000 tokens
- Widest inputsClaude Haiku 4.5Llama-3.3-70B-Instruct: Text · Claude Haiku 4.5: Text, Images, PDFs · Mistral Small 3.1 24B: Text, Images
- Self-hostingLlama-3.3-70B-Instruct and Mistral Small 3.1 24BPublishes downloadable weights
| Measure | Weight | Llama-3.3-70B-Instruct | Claude Haiku 4.5 | Mistral Small 3.1 24B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 49 | 69 | 50 |
| Price | 25% | 60 | 36 | 76 |
| Inputs & features | 15% | 25 | 80 | 60 |
| Context window | 10% | 24 | 32 | 24 |
| Overall | 100% | 46/100 | 58/100 | 55/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama-3.3-70B-InstructMeta | Claude Haiku 4.5Anthropic | Mistral Small 3.1 24BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.3 | 142.4 (best) | 127.5 |
| ECI rank | #133 of 148 | #90 of 148 (best) | #132 of 148 |
| GPQA DiamondGraduate-level science questions | 47.4% | 71.2% (best) | 47.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 5.1% | 66.7% (best) | 5.8% |
| SimpleQA VerifiedShort factual questions | — | 13.2% | — |
| Price per million tokens | |||
| Input | $0.59 | $1.00 | $0.229 (best) |
| Output | $0.724 | $5.00 | $0.436 (best) |
| Cached input | — | $0.10 | — |
| Blended (3:1) | $0.624 | $2.00 | $0.281 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 21 providers | Official Anthropic API | Median of 2 providers |
| Limits | |||
| Context window | 128,000 tokens | 200,000 tokens (best) | 128,000 tokens |
| Max output | 4,096 tokens | 64,000 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | llama-3.3-70b-instruct | claude-haiku-4-5 | — |
| API providers | 24 | 34 (best) | 2 |
| Released | Dec 6, 2024 | Oct 15, 2025 | Mar 17, 2025 |
| Knowledge cutoff | Dec 2023 | Feb 28, 2025 | 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.
- Llama-3.3-70B-Instruct$7.35
- Claude Haiku 4.5$20.00
- Mistral Small 3.1 24B$3.16
Which should you choose?
Which is better: Llama-3.3-70B-Instruct, Claude Haiku 4.5 or Mistral Small 3.1 24B?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mistral Small 3.1 24B (55) and Llama-3.3-70B-Instruct (46). It leads on capability, inputs & features and context window. Mistral Small 3.1 24B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Llama-3.3-70B-Instruct, Claude Haiku 4.5 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); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). 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) and $2.00 for Claude Haiku 4.5 (7.1× as much).
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Mistral Small 3.1 24B 127.5 (#132 of 148) and Llama-3.3-70B-Instruct 127.3 (#133 of 148). Their confidence ranges do not overlap (139.5–144.3 vs 122.6–129.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 4.5 71.2%, Mistral Small 3.1 24B 47.5%, Llama-3.3-70B-Instruct 47.4%; OTIS Mock AIME 2024–2025 — Claude Haiku 4.5 66.7%, Mistral Small 3.1 24B 5.8%, Llama-3.3-70B-Instruct 5.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct, Claude Haiku 4.5 and Mistral Small 3.1 24B yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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 4.5 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: Llama-3.3-70B-Instruct up to 4,096, Claude Haiku 4.5 up to 64,000, Mistral Small 3.1 24B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Llama-3.3-70B-Instruct accepts text; Claude Haiku 4.5 accepts text, images and PDFs; Mistral Small 3.1 24B accepts text and images. Claude Haiku 4.5 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 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Mistral Small 3.1 24B came out Mar 17, 2025; Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Claude Haiku 4.5 Feb 28, 2025, 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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