Claude Haiku 3 vs Mistral Large
Too close to call on our weighted score (Claude Haiku 3 46, Mistral Large 44). The right pick depends on what you value most.
Anthropic
Claude Haiku 3
46/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
Mistral AI
Mistral Large
44/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Claude Haiku 3 46/100, Mistral Large 44/100), so choose by what matters most for your work: Mistral Large for raw capability, Claude Haiku 3 on price and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral LargeCapabilities Index (ECI): Mistral Large 122.0 · Claude Haiku 3 118.8
- Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral Large 128,000 tokens
- Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Mistral Large: Text, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Claude Haiku 3 | Mistral Large |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 42 |
| Price | 25% | 61 | 53 |
| Inputs & features | 15% | 60 | 45 |
| Context window | 10% | 32 | 24 |
| Overall | 100% | 46/100 | 44/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 118.8 | 122.0 (best) |
| ECI rank | #156 of 165 | #153 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 36.3% | 38.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% | 1.9% (best) |
| Price per million tokens | ||
| Input | $0.25 (best) | $0.50 |
| Output | $1.25 (best) | $1.50 |
| Cached input | — | $0.05 |
| Blended (3:1) | $0.50 (best) | $0.75 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Mistral API |
| Limits | ||
| Context window | 200,000 tokens (best) | 128,000 tokens |
| Max output | 4,096 tokens | 102,400 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | mistral-large-latest |
| API providers | 3 | 11 (best) |
| Released | Mar 13, 2024 | Feb 26, 2024 |
| Knowledge cutoff | Aug 31, 2023 | Nov 30, 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
Mistral Large$8.00
Which should you choose?
Which is better: Claude Haiku 3 or Mistral Large?
It is close. Our weighted score puts them within 3 points (Claude Haiku 3 46/100, Mistral Large 44/100), so choose by what matters most for your work: Mistral Large for raw capability, Claude Haiku 3 on price and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 3 or Mistral Large?
Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 3 API providers). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral 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 $0.75 for Mistral Large (1.5× as much).
Which scores higher on benchmarks?
Mistral Large scores higher on the Capabilities Index (ECI): Mistral Large 122.0 (#153 of 165) and Claude Haiku 3 118.8 (#156 of 165). The confidence ranges of the top two overlap (115.7–124.8 vs 111.7–121.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Claude Haiku 3 36.3%; OTIS Mock AIME 2024–2025 — Mistral Large 1.9%, Claude Haiku 3 1.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3 and Mistral Large yet, so there is no like-for-like coding score. On overall capability, Mistral Large leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for Mistral Large. Maximum output per response: Claude Haiku 3 up to 4,096, Mistral Large up to 102,400 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3 accepts text, images and PDFs; Mistral Large accepts text and PDFs. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
No. Claude Haiku 3 and Mistral Large are proprietary and only available through APIs and apps.
Which is newer?
Claude Haiku 3 is the newest, released Mar 13, 2024. Mistral Large came out Feb 26, 2024. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Mistral Large Nov 30, 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 Nov 2, 2026.