Mistral Large 2.1 vs Mistral Large vs Claude Haiku 3.5
Too close to call on our weighted score (Claude Haiku 3.5 46, Mistral Large 44, Mistral Large 2.1 38). The right pick depends on what you value most.
Mistral AIMistral Large 2.1
38/100- ECI128.6
- Price$2.00 / $6.00
- Context131K
- Mistral AI
Mistral Large
44/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
AnthropicClaude Haiku 3.5
46/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
Too close to call
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability, Mistral Large on price and Claude Haiku 3.5 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.6 · Claude Haiku 3.5 127.0 · Mistral Large 122.0
- Lowest priceMistral LargeMistral Large $0.75 · Claude Haiku 3.5 $1.60 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 2.1 131,072 · Mistral Large 128,000 tokens
- Widest inputsClaude Haiku 3.5Mistral Large 2.1: Text · Mistral Large: Text, PDFs · Claude Haiku 3.5: Text, Images, PDFs
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Mistral Large 2.1 | Mistral Large | Claude Haiku 3.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 50 | 42 | 48 |
| Price | 25% | 26 | 53 | 38 |
| Inputs & features | 15% | 25 | 45 | 60 |
| Context window | 10% | 25 | 24 | 32 |
| Overall | 100% | 38/100 | 44/100 | 46/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Large 2.1Mistral AI | Mistral LargeMistral AI | Claude Haiku 3.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 128.6 (best) | 122.0 | 127.0 |
| ECI rank | #142 of 165 (best) | #153 of 165 | #147 of 165 |
| GPQA DiamondGraduate-level science questions | 51.3% (best) | 38.8% | 38.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.8% (best) | 1.9% | 4.3% |
| Price per million tokens | |||
| Input | $2.00 | $0.50 (best) | $0.80 |
| Output | $6.00 | $1.50 (best) | $4.00 |
| Cached input | — | $0.05 | — |
| Blended (3:1) | $3.00 | $0.75 (best) | $1.60 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Mistral API | Median of 3 providers |
| Limits | |||
| Context window | 131,072 tokens | 128,000 tokens | 200,000 tokens (best) |
| Max output | 16,384 tokens | 102,400 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | mistral-large-latest | — |
| API providers | 2 | 11 (best) | 4 |
| Released | Nov 18, 2024 | Feb 26, 2024 | Oct 22, 2024 |
| Knowledge cutoff | Nov 2024 | Nov 30, 2024 | Jul 31, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Large 2.1$32.00
- Mistral Large$8.00
- Claude Haiku 3.5$16.00
Which should you choose?
Which is better: Mistral Large 2.1, Mistral Large or Claude Haiku 3.5?
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability, Mistral Large on price and Claude Haiku 3.5 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Large 2.1, Mistral Large or Claude Haiku 3.5?
Mistral Large is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Claude Haiku 3.5 costs $0.80 input / $4.00 output per million tokens (median across 3 API providers); Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large versus $1.60 for Claude Haiku 3.5 (2.1× as much) and $3.00 for Mistral Large 2.1 (4× as much).
Which scores higher on benchmarks?
Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.6 (#142 of 165), Claude Haiku 3.5 127.0 (#147 of 165) and Mistral Large 122.0 (#153 of 165). The confidence ranges of the top two overlap (124.3–130.7 vs 121.4–129.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Mistral Large 38.8%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Mistral Large 2.1 7.8%, Claude Haiku 3.5 4.3%, Mistral Large 1.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 2.1, Mistral Large and Claude Haiku 3.5 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 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 131,072 for Mistral Large 2.1 and 128,000 for Mistral Large. Maximum output per response: Mistral Large 2.1 up to 16,384, Mistral Large up to 102,400, Claude Haiku 3.5 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 2.1 accepts text; Mistral Large accepts text and PDFs; Claude Haiku 3.5 accepts text, images and PDFs. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Mistral Large 2.1 publishes its weights and can be self-hosted; Mistral Large and Claude Haiku 3.5 is proprietary.
Which is newer?
Mistral Large 2.1 is the newest, released Nov 18, 2024. Claude Haiku 3.5 came out Oct 22, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Mistral Large Nov 30, 2024, Claude Haiku 3.5 Jul 31, 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.
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