DeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5 vs GPT-6 Luna
Too close to call on our weighted score (Claude Haiku 5.5 83, GPT-6 Luna 80, DeepSeek V4.1 Flash 1017 79). The right pick depends on what you value most.
DeepSeekDeepSeek V4.1 Flash 1017
79/100- ECI158.8
- Price$0.15 / $0.60
- Context1M
AnthropicClaude Haiku 5.5
83/100- ECI160.4
- Price$0.10 / $0.50
- Context1M
OpenAIGPT-6 Luna
80/100- ECI156.8
- Price$0.10 / $0.50
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 2 points (Claude Haiku 5.5 83/100, GPT-6 Luna 80/100, DeepSeek V4.1 Flash 1017 79/100), so choose by what matters most for your work: Claude Haiku 5.5 for raw capability and GPT-6 Luna for long inputs. 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 · GPT-6 Luna 156.8
- Lowest priceClaude Haiku 5.5 and GPT-6 LunaClaude Haiku 5.5 $0.20 · GPT-6 Luna $0.20 · DeepSeek V4.1 Flash 1017 $0.263 per 1M tokens (3:1 blend)
- Longest contextGPT-6 LunaGPT-6 Luna 1,050,000 · DeepSeek V4.1 Flash 1017 1,000,000 · Claude Haiku 5.5 1,000,000 tokens
- Widest inputsClaude Haiku 5.5 and GPT-6 LunaDeepSeek V4.1 Flash 1017: Text, Images · Claude Haiku 5.5: Text, Images, PDFs · GPT-6 Luna: Text, Images, PDFs
- Self-hostingDeepSeek V4.1 Flash 1017Publishes downloadable weights (MIT)
| Measure | Weight | DeepSeek V4.1 Flash 1017 | Claude Haiku 5.5 | GPT-6 Luna |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 87 | 89 | 85 |
| Price | 25% | 74 | 80 | 80 |
| Inputs & features | 15% | 70 | 80 | 80 |
| Context window | 10% | 60 | 60 | 61 |
| Overall | 100% | 79/100 | 83/100 | 80/100 |
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 | GPT-6 LunaOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 158.8 | 160.4 (best) | 156.8 |
| ECI rank | #19 of 165 | #14 of 165 (best) | #28 of 165 |
| GPQA DiamondGraduate-level science questions | 93.2% (best) | 89.7% | 90.5% |
| FrontierMath Tiers 1–3Research-level mathematics | 71.2% | 75.1% | 79.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.4% (best) | 98.9% | 98.9% |
| SimpleQA VerifiedShort factual questions | 42.5% (best) | 23.8% | 41.4% |
| Price per million tokens | |||
| Input | $0.15 | $0.10 (best) | $0.10 (best) |
| Output | $0.60 | $0.50 (best) | $0.50 (best) |
| Cached input | $0.003 (best) | $0.01 | $0.01 |
| Blended (3:1) | $0.263 | $0.20 (best) | $0.20 (best) |
| Long-context rate | Same rate | Over 100K: $0.50 / $2.50 | Over 272K: $0.20 / $0.75 |
| Price source | Official DeepSeek API | Official Anthropic API | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,000,000 tokens | 1,050,000 tokens (best) |
| Max output | 384,000 tokens (best) | 128,000 tokens | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | OpenMIT | Proprietary | Proprietary |
| API model ID | deepseek-flash | claude-haiku-5-5 | gpt-6-luna |
| API providers | 40 (best) | 33 | 35 |
| Released | Oct 17, 2026 | Oct 7, 2026 | Sep 22, 2026 |
| Knowledge cutoff | May 2025 | Jun 2026 | May 18, 2026 |
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
- GPT-6 Luna$2.00
Which should you choose?
Which is better: DeepSeek V4.1 Flash 1017, Claude Haiku 5.5 or GPT-6 Luna?
It is close. Our weighted score puts them within 2 points (Claude Haiku 5.5 83/100, GPT-6 Luna 80/100, DeepSeek V4.1 Flash 1017 79/100), so choose by what matters most for your work: Claude Haiku 5.5 for raw capability and GPT-6 Luna for long inputs. 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 GPT-6 Luna?
Claude Haiku 5.5 is cheaper at $0.10 input / $0.50 output per million tokens (official Anthropic API price). GPT-6 Luna costs $0.10 input / $0.50 output per million tokens (official OpenAI API price); DeepSeek V4.1 Flash 1017 costs $0.15 input / $0.60 output per million tokens (official DeepSeek API price). 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 $0.20 for GPT-6 Luna (1× as much) and $0.263 for DeepSeek V4.1 Flash 1017 (1.3× 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 GPT-6 Luna 156.8 (#28 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%, GPT-6 Luna 90.5%, Claude Haiku 5.5 89.7%; FrontierMath Tiers 1–3 — GPT-6 Luna 79.0%, Claude Haiku 5.5 75.1%, DeepSeek V4.1 Flash 1017 71.2%; OTIS Mock AIME 2024–2025 — DeepSeek V4.1 Flash 1017 99.4%, Claude Haiku 5.5 98.9%, GPT-6 Luna 98.9%; SimpleQA Verified — DeepSeek V4.1 Flash 1017 42.5%, GPT-6 Luna 41.4%, Claude Haiku 5.5 23.8%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4.1 Flash 1017, Claude Haiku 5.5 and GPT-6 Luna 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?
GPT-6 Luna has the largest context window at 1,050,000 tokens, against 1,000,000 for DeepSeek V4.1 Flash 1017 and 1,000,000 for Claude Haiku 5.5. Maximum output per response: DeepSeek V4.1 Flash 1017 up to 384,000, Claude Haiku 5.5 up to 128,000, GPT-6 Luna up to 128,000 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; GPT-6 Luna accepts text, images and PDFs. Claude Haiku 5.5 handles the widest range of inputs.
Are any of these open source?
DeepSeek V4.1 Flash 1017 publishes its weights (MIT) and can be self-hosted; Claude Haiku 5.5 and GPT-6 Luna 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; GPT-6 Luna came out Sep 22, 2026. Knowledge cutoff: DeepSeek V4.1 Flash 1017 May 2025, Claude Haiku 5.5 Jun 2026, GPT-6 Luna May 18, 2026.
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.
Related comparisons
- DeepSeek V4.1 Flash 1017 vs GLM-5.3-FlashZ.ai (Zhipu) · ECI 153.2
- DeepSeek V4.1 Flash 1017 vs Gemini 3.7 FlashGoogle · ECI 158.2
- Claude Haiku 5.5 vs GLM-5.3-FlashZ.ai (Zhipu) · ECI 153.2
- Claude Haiku 5.5 vs Gemini 3.7 FlashGoogle · ECI 158.2
- GPT-6 Luna vs DeepSeek V4 Flash 0731DeepSeek · ECI 154.9
- GPT-6 Luna vs GLM-5.3-FlashZ.ai (Zhipu) · ECI 153.2
