Mistral Large 2.1 vs Claude Haiku 5.5 vs Claude Haiku 3.5
Claude Haiku 5.5 comes out ahead, 83 to 46 and 38 on our weighted score, and it is the cheaper option too.
Mistral AI
Mistral Large 2.1
38/100- ECI128.6
- Price$2.00 / $6.00
- Context131K
- Our pick
Anthropic
Claude Haiku 5.5
83/100- ECI160.4
- Price$0.10 / $0.50
- Context1M
Anthropic
Claude Haiku 3.5
46/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
Claude Haiku 5.5 is our pick
Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Claude Haiku 3.5 (46) and Mistral Large 2.1 (38). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 5.5Capabilities Index (ECI): Claude Haiku 5.5 160.4 · Mistral Large 2.1 128.6 · Claude Haiku 3.5 127.0
- Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · Claude Haiku 3.5 $1.60 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 5.5Claude Haiku 5.5 1,000,000 · Claude Haiku 3.5 200,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsClaude Haiku 5.5 and Claude Haiku 3.5Mistral Large 2.1: Text · Claude Haiku 5.5: Text, Images, PDFs · Claude Haiku 3.5: Text, Images, PDFs
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Mistral Large 2.1 | Claude Haiku 5.5 | Claude Haiku 3.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 50 | 89 | 48 |
| Price | 25% | 26 | 80 | 38 |
| Inputs & features | 15% | 25 | 80 | 60 |
| Context window | 10% | 25 | 60 | 32 |
| Overall | 100% | 38/100 | 83/100 | 46/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 128.6 | 160.4 (best) | 127.0 |
| ECI rank | #142 of 165 | #14 of 165 (best) | #147 of 165 |
| GPQA DiamondGraduate-level science questions | 51.3% | 89.7% (best) | 38.1% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 75.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.8% | 98.9% (best) | 4.3% |
| SimpleQA VerifiedShort factual questions | — | 23.8% | — |
| Price per million tokens | |||
| Input | $2.00 | $0.10 (best) | $0.80 |
| Output | $6.00 | $0.50 (best) | $4.00 |
| Cached input | — | $0.01 | — |
| Blended (3:1) | $3.00 | $0.20 (best) | $1.60 |
| Long-context rate | Same rate | Over 100K: $0.50 / $2.50 | Same rate |
| Price source | Median of 2 providers | Official Anthropic API | Median of 3 providers |
| Limits | |||
| Context window | 131,072 tokens | 1,000,000 tokens (best) | 200,000 tokens |
| Max output | 16,384 tokens | 128,000 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yeslow · medium · high · xhigh · max | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | claude-haiku-5-5 | — |
| API providers | 2 | 33 (best) | 4 |
| Released | Nov 18, 2024 | Oct 7, 2026 | Oct 22, 2024 |
| Knowledge cutoff | Nov 2024 | Jun 2026 | 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
Claude Haiku 5.5$2.00
Claude Haiku 3.5$16.00
Which should you choose?
Which is better: Mistral Large 2.1, Claude Haiku 5.5 or Claude Haiku 3.5?
Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against Claude Haiku 3.5 (46) and Mistral Large 2.1 (38). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Large 2.1, Claude Haiku 5.5 or Claude Haiku 3.5?
Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic 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 $0.20 per million tokens for Claude Haiku 5.5 versus $1.60 for Claude Haiku 3.5 (8× as much) and $3.00 for Mistral Large 2.1 (15× as much).
Which scores higher on benchmarks?
Claude Haiku 5.5 scores higher on the Capabilities Index (ECI): Claude Haiku 5.5 160.4 (#14 of 165), Mistral Large 2.1 128.6 (#142 of 165) and Claude Haiku 3.5 127.0 (#147 of 165). Their confidence ranges do not overlap (157.3–163.8 vs 124.3–130.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 5.5 89.7%, Mistral Large 2.1 51.3%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Claude Haiku 5.5 98.9%, Mistral Large 2.1 7.8%, Claude Haiku 3.5 4.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 2.1, Claude Haiku 5.5 and Claude Haiku 3.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 5.5 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 5.5 has the largest context window at 1,000,000 tokens, against 200,000 for Claude Haiku 3.5 and 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 2.1 up to 16,384, Claude Haiku 5.5 up to 128,000, Claude Haiku 3.5 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 2.1 accepts text; Claude Haiku 5.5 accepts text, images and PDFs; Claude Haiku 3.5 accepts text, images and PDFs. Claude Haiku 5.5 handles the widest range of inputs.
Are any of these open source?
Mistral Large 2.1 publishes its weights and can be self-hosted; Claude Haiku 5.5 and Claude Haiku 3.5 is proprietary.
Which is newer?
Claude Haiku 5.5 is the newest, released Oct 7, 2026. Mistral Large 2.1 came out Nov 18, 2024; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Claude Haiku 5.5 Jun 2026, 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.