DeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5 vs Mistral Large 2.1
Claude Haiku 5.5 comes out ahead, 83 to 79 and 38 on our weighted score, and it is the cheaper option too.
DeepSeekDeepSeek V4.1 Flash 1017
79/100- ECI158.8
- Price$0.15 / $0.60
- Context1M
- Our pick
AnthropicClaude Haiku 5.5
83/100- ECI160.4
- Price$0.10 / $0.50
- Context1M
Mistral AIMistral Large 2.1
38/100- ECI128.6
- Price$2.00 / $6.00
- Context131K
Claude Haiku 5.5 is our pick
Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against DeepSeek V4.1 Flash 1017 (79) and Mistral Large 2.1 (38). It leads on capability, price and inputs & features. 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 · DeepSeek V4.1 Flash 1017 158.8 · Mistral Large 2.1 128.6
- Lowest priceClaude Haiku 5.5Claude Haiku 5.5 $0.20 · DeepSeek V4.1 Flash 1017 $0.263 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V4.1 Flash 1017 and Claude Haiku 5.5DeepSeek V4.1 Flash 1017 1,000,000 · Claude Haiku 5.5 1,000,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsClaude Haiku 5.5DeepSeek V4.1 Flash 1017: Text, Images · Claude Haiku 5.5: Text, Images, PDFs · Mistral Large 2.1: Text
- Self-hostingDeepSeek V4.1 Flash 1017 and Mistral Large 2.1Publishes downloadable weights (MIT)
| Measure | Weight | DeepSeek V4.1 Flash 1017 | Claude Haiku 5.5 | Mistral Large 2.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 87 | 89 | 50 |
| Price | 25% | 74 | 80 | 26 |
| Inputs & features | 15% | 70 | 80 | 25 |
| Context window | 10% | 60 | 60 | 25 |
| Overall | 100% | 79/100 | 83/100 | 38/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V4.1 Flash 1017DeepSeek | Claude Haiku 5.5Anthropic | Mistral Large 2.1Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 158.8 | 160.4 (best) | 128.6 |
| ECI rank | #19 of 165 | #14 of 165 (best) | #142 of 165 |
| GPQA DiamondGraduate-level science questions | 93.2% (best) | 89.7% | 51.3% |
| FrontierMath Tiers 1–3Research-level mathematics | 71.2% | 75.1% (best) | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.4% (best) | 98.9% | 7.8% |
| SimpleQA VerifiedShort factual questions | 42.5% (best) | 23.8% | — |
| Price per million tokens | |||
| Input | $0.15 | $0.10 (best) | $2.00 |
| Output | $0.60 | $0.50 (best) | $6.00 |
| Cached input | $0.003 (best) | $0.01 | — |
| Blended (3:1) | $0.263 | $0.20 (best) | $3.00 |
| Long-context rate | Same rate | Over 100K: $0.50 / $2.50 | Same rate |
| Price source | Official DeepSeek API | Official Anthropic API | Median of 2 providers |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 384,000 tokens (best) | 128,000 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | OpenMIT | Proprietary | Open |
| API model ID | deepseek-flash | claude-haiku-5-5 | — |
| API providers | 40 (best) | 33 | 2 |
| Released | Oct 17, 2026 | Oct 7, 2026 | Nov 18, 2024 |
| Knowledge cutoff | May 2025 | Jun 2026 | 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.
- DeepSeek V4.1 Flash 1017$2.70
- Claude Haiku 5.5$2.00
- Mistral Large 2.1$32.00
Which should you choose?
Which is better: DeepSeek V4.1 Flash 1017, Claude Haiku 5.5 or Mistral Large 2.1?
Claude Haiku 5.5 is the better all-round choice, scoring 83/100 against DeepSeek V4.1 Flash 1017 (79) and Mistral Large 2.1 (38). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V4.1 Flash 1017, Claude Haiku 5.5 or Mistral Large 2.1?
Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). DeepSeek V4.1 Flash 1017 costs $0.15 input / $0.60 output per million tokens (official DeepSeek API price); 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 $0.263 for DeepSeek V4.1 Flash 1017 (1.3× 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), DeepSeek V4.1 Flash 1017 158.8 (#19 of 165) and Mistral Large 2.1 128.6 (#142 of 165). The confidence ranges of the top two overlap (157.3–163.8 vs 156.7–162.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek V4.1 Flash 1017 93.2%, Claude Haiku 5.5 89.7%, Mistral Large 2.1 51.3%; OTIS Mock AIME 2024–2025 — DeepSeek V4.1 Flash 1017 99.4%, Claude Haiku 5.5 98.9%, Mistral Large 2.1 7.8%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4.1 Flash 1017, Claude Haiku 5.5 and Mistral Large 2.1 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?
DeepSeek V4.1 Flash 1017 and Claude Haiku 5.5 have the largest context windows (1,000,000 and 1,000,000 tokens), against 131,072 for Mistral Large 2.1. Maximum output per response: DeepSeek V4.1 Flash 1017 up to 384,000, Claude Haiku 5.5 up to 128,000, Mistral Large 2.1 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4.1 Flash 1017 accepts text and images; Claude Haiku 5.5 accepts text, images and PDFs; Mistral Large 2.1 accepts text. Claude Haiku 5.5 handles the widest range of inputs.
Are any of these open source?
DeepSeek V4.1 Flash 1017 and Mistral Large 2.1 publishes its weights (MIT) and can be self-hosted; Claude Haiku 5.5 is proprietary.
Which is newer?
DeepSeek V4.1 Flash 1017 is the newest, released Oct 17, 2026. Claude Haiku 5.5 came out Oct 7, 2026; Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: DeepSeek V4.1 Flash 1017 May 2025, Claude Haiku 5.5 Jun 2026, 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.
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