Model comparison
Claude Haiku 4.5 vs DeepSeek-R1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); DeepSeek-R1 #103 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and DeepSeek-R1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Claude Haiku 4.5; 11 to DeepSeek-R1.
Updated July 21, 2026- Shared results
- 0
- Claude Haiku 4.5 only
- 5
- DeepSeek-R1 only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 and DeepSeek-R1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Haiku 4.5 is priced at $1.00 input / $5.00 output per 1M tokens, versus $0.55 input / $2.19 output per 1M tokens for DeepSeek-R1. Claude Haiku 4.5 has the larger context window at 200K, compared with 128K for DeepSeek-R1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | DeepSeek-R1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | DeepSeek-R1$0.55 input / $2.19 output | DeepSeek-R1 has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | DeepSeek-R1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | DeepSeek-R1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | DeepSeek-R1128K | Claude Haiku 4.5 lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Haiku 4.5 | DeepSeek-R1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 20.1% | Not comparable |
| AA-GPQA DiamondSource | — | 81.3% | Not comparable |
| AA-HLESource | — | 14.9% | Not comparable |
| AA-Omniscience IndexSource | — | -27.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 31.0% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 84.0% | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 | DeepSeek-R1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 39.6% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 and DeepSeek-R1 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Haiku 4.5 and DeepSeek-R1 today?
Claude Haiku 4.5: $1.00 input / $5.00 output per 1M tokens DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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