Model comparison
Claude 3 Haiku vs DeepSeek-R1
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 3 Haiku #194 (Supported); DeepSeek-R1 #103 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 3 Haiku and DeepSeek-R1 share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Claude 3 Haiku; 0 to DeepSeek-R1.
Updated July 22, 2026- Shared results
- 11
- Claude 3 Haiku only
- 1
- DeepSeek-R1 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude 3 Haiku and DeepSeek-R1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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.
DeepSeek-R1 is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.25 input / $1.25 output per 1M tokens for Claude 3 Haiku. Claude 3 Haiku has the larger context window at 200K, compared with 128K for DeepSeek-R1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 3 Haiku | DeepSeek-R1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 3 Haiku$0.25 input / $1.25 output | DeepSeek-R1$0.55 input / $2.19 output | Claude 3 Haiku has the lower combined listed price. |
| Generation speedtokens per second | Claude 3 Haiku138 tok/s | DeepSeek-R1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 3 Haiku1.16 s | DeepSeek-R1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 3 Haiku200K | DeepSeek-R1128K | Claude 3 Haiku lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude 3 Haiku | DeepSeek-R1 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 21.1% | 36.5% | DeepSeek-R1 leads |
Coding1 benchmarks
| Benchmark | Claude 3 Haiku | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-SciCodeSource | 18.6% | 40.3% | DeepSeek-R1 leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 3 Haiku | DeepSeek-R1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 3.9% | 20.1% | DeepSeek-R1 leads |
| AA-GPQA DiamondSource | 37.4% | 81.3% | DeepSeek-R1 leads |
| AA-HLESource | 3.9% | 14.9% | DeepSeek-R1 leads |
| AA-Omniscience IndexSource | -47.6% | -27.1% | DeepSeek-R1 leads |
| AA-Omniscience AccuracySource | 17.2% | 31.0% | DeepSeek-R1 leads |
| AA-Omniscience Hallucination RateSource | 78.2% | 84.0% | Claude 3 Haiku leads |
Multimodal1 benchmarks
| Benchmark | Claude 3 Haiku | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 30.8% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude 3 Haiku | DeepSeek-R1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.1% | 39.6% | DeepSeek-R1 leads |
Frequently Asked Questions (3)
Can I compare Claude 3 Haiku 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 3 Haiku and DeepSeek-R1 today?
Claude 3 Haiku: $0.25 input / $1.25 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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