Claude Haiku 3.5 vs Claude Sonnet 3.5 v2 vs Mistral Large 2.1
Too close to call on our weighted score (Claude Haiku 3.5 46, Claude Sonnet 3.5 v2 44, Mistral Large 2.1 38). The right pick depends on what you value most.
Anthropic
Claude Haiku 3.5
46/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
Anthropic
Claude Sonnet 3.5 v2
44/100- ECI133.4
- Price$2.80 / $14.00
- Context200K
Mistral AI
Mistral Large 2.1
38/100- ECI128.6
- Price$2.00 / $6.00
- Context131K
Too close to call
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Claude Sonnet 3.5 v2 44/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Claude Haiku 3.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Sonnet 3.5 v2Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 · Mistral Large 2.1 128.6 · Claude Haiku 3.5 127.0
- Lowest priceClaude Haiku 3.5Claude Haiku 3.5 $1.60 · Mistral Large 2.1 $3.00 · Claude Sonnet 3.5 v2 $5.60 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3.5 and Claude Sonnet 3.5 v2Claude Haiku 3.5 200,000 · Claude Sonnet 3.5 v2 200,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsClaude Haiku 3.5 and Claude Sonnet 3.5 v2Claude Haiku 3.5: Text, Images, PDFs · Claude Sonnet 3.5 v2: Text, Images, PDFs · Mistral Large 2.1: Text
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Claude Sonnet 3.5 v2 | Mistral Large 2.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 48 | 56 | 50 |
| Price | 25% | 38 | 14 | 26 |
| Inputs & features | 15% | 60 | 60 | 25 |
| Context window | 10% | 32 | 32 | 25 |
| Overall | 100% | 46/100 | 44/100 | 38/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.0 | 133.4 (best) | 128.6 |
| ECI rank | #147 of 165 | #133 of 165 (best) | #142 of 165 |
| GPQA DiamondGraduate-level science questions | 38.1% | 55.3% (best) | 51.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | 8.5% (best) | 7.8% |
| Price per million tokens | |||
| Input | $0.80 (best) | $2.80 | $2.00 |
| Output | $4.00 (best) | $14.00 | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | $1.60 (best) | $5.60 | $3.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 2 providers | Median of 2 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 200,000 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | — | — |
| API providers | 4 (best) | 3 | 2 |
| Released | Oct 22, 2024 | Oct 22, 2024 | Nov 18, 2024 |
| Knowledge cutoff | Jul 31, 2024 | Apr 30, 2024 | Nov 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$16.00
Claude Sonnet 3.5 v2$56.00
Mistral Large 2.1$32.00
Which should you choose?
Which is better: Claude Haiku 3.5, Claude Sonnet 3.5 v2 or Mistral Large 2.1?
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Claude Sonnet 3.5 v2 44/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Claude Haiku 3.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 3.5, Claude Sonnet 3.5 v2 or Mistral Large 2.1?
Claude Haiku 3.5 is cheaper at $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); Claude Sonnet 3.5 v2 costs $2.80 input / $14.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $1.60 per million tokens for Claude Haiku 3.5 versus $3.00 for Mistral Large 2.1 (1.9× as much) and $5.60 for Claude Sonnet 3.5 v2 (3.5× as much).
Which scores higher on benchmarks?
Claude Sonnet 3.5 v2 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 (#133 of 165), Mistral Large 2.1 128.6 (#142 of 165) and Claude Haiku 3.5 127.0 (#147 of 165). The confidence ranges of the top two overlap (128.5–137.7 vs 124.3–130.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.5 v2 55.3%, Mistral Large 2.1 51.3%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.5 v2 8.5%, 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 Claude Haiku 3.5, Claude Sonnet 3.5 v2 and Mistral Large 2.1 yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.5 v2 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 and Claude Sonnet 3.5 v2 have the largest context windows (200,000 and 200,000 tokens), against 131,072 for Mistral Large 2.1. Maximum output per response: Claude Haiku 3.5 up to 8,192, Claude Sonnet 3.5 v2 up to 8,192, Mistral Large 2.1 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Claude Sonnet 3.5 v2 accepts text, images and PDFs; Mistral Large 2.1 accepts text. 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; Claude Haiku 3.5 and Claude Sonnet 3.5 v2 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; Claude Sonnet 3.5 v2 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Claude Sonnet 3.5 v2 Apr 30, 2024, Mistral Large 2.1 Nov 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.