DeepSeek-R1 vs Claude Haiku 4.5
Claude Haiku 4.5 comes out ahead, 58 to 51 on our weighted score, though DeepSeek-R1 is 41% cheaper per token.
DeepSeek
DeepSeek-R1
51/100- ECI139.0
- Price$0.70 / $2.60
- Context128K
- Our pick
Anthropic
Claude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
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Make it a three-way comparison.
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against DeepSeek-R1 (51). It leads on capability, inputs & features and context window. DeepSeek-R1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · DeepSeek-R1 139.0
- Lowest priceDeepSeek-R1DeepSeek-R1 $1.18 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · DeepSeek-R1 128,000 tokens
- Widest inputsClaude Haiku 4.5DeepSeek-R1: Text · Claude Haiku 4.5: Text, Images, PDFs
- Self-hostingDeepSeek-R1Publishes downloadable weights
| Measure | Weight | DeepSeek-R1 | Claude Haiku 4.5 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 64 | 69 |
| Price | 25% | 47 | 36 |
| Inputs & features | 15% | 35 | 80 |
| Context window | 10% | 24 | 32 |
| Overall | 100% | 51/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 139.0 | 142.4 (best) |
| ECI rank | #104 of 148 | #90 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 71.7% (best) | 71.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 53.3% | 66.7% (best) |
| SimpleQA VerifiedShort factual questions | — | 13.2% |
| Price per million tokens | ||
| Input | $0.70 (best) | $1.00 |
| Output | $2.60 (best) | $5.00 |
| Cached input | — | $0.10 |
| Blended (3:1) | $1.18 (best) | $2.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 11 providers | Official Anthropic API |
| Limits | ||
| Context window | 128,000 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | claude-haiku-4-5 |
| API providers | 12 | 34 (best) |
| Released | Jan 20, 2025 | Oct 15, 2025 |
| Knowledge cutoff | Jul 2024 | Feb 28, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
DeepSeek-R1$12.20
Claude Haiku 4.5$20.00
Which should you choose?
Which is better: DeepSeek-R1 or Claude Haiku 4.5?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against DeepSeek-R1 (51). It leads on capability, inputs & features and context window. DeepSeek-R1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek-R1 or Claude Haiku 4.5?
DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 API providers). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.18 per million tokens for DeepSeek-R1 versus $2.00 for Claude Haiku 4.5 (1.7× as much).
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148) and DeepSeek-R1 139.0 (#104 of 148). The confidence ranges of the top two overlap (139.5–144.3 vs 136.2–140.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek-R1 71.7%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — Claude Haiku 4.5 66.7%, DeepSeek-R1 53.3%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek-R1 and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Haiku 4.5 has the largest context window at 200,000 tokens, against 128,000 for DeepSeek-R1. Maximum output per response: DeepSeek-R1 up to 32,768, Claude Haiku 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-R1 accepts text; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
DeepSeek-R1 publishes its weights and can be self-hosted; Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 2024, Claude Haiku 4.5 Feb 28, 2025.
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 Oct 4, 2026.