Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, DeepSeek R1 delivers higher overall intelligence and human-preferred responses (Elo 1,358 vs 1,224), while DeepSeek R1 leads in SWE-bench software engineering benchmarks (65.2%), while DeepSeek R1 is more budget-friendly at $2.5/1M per 1M output tokens, while Claude 3.5 Haiku provides faster response streaming (140 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 benchmarks evaluated across capability, speed, and cost
Previous cheap Claude. Haiku 4.5 is the current $1/$5 SKU.
Open-weights reasoning model trained with large-scale RL.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 134 Arena Elo pts
140 tok/s
$2.5 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Claude 3.5 Haiku | DeepSeek R1 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +134 | ||
| LiveBench | +14.2% | ||
| SWE-bench | +29% | ||
| GPQA Diamond | +25.7% | ||
| Time to first token | +310 ms | ||
| Output speed | 140 tok/s | 62 tok/s | +78 tok/s |
| Input price | $0.8/1M | $0.7/1M | +$0.1/1M |
| Output price | $2.5/1M | +$1.5/1M | |
| Context window | +136k |
Simulate monthly production API costs in USD (US Dollar).
DeepSeek R1 is estimated to save $26.00/month ($312/year).
Higher SWE-bench (65.2%).
Lower output list price ($2.5/1M).
Lower TTFT (110 ms).
Larger window (200k).
Claude 3.5 Haiku is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek R1 | Higher SWE-bench (65.2%). |
| High-volume chat | DeepSeek R1 | Lower output list price ($2.5/1M). |
| Voice / low-latency UI | Claude 3.5 Haiku | Lower TTFT (110 ms). |
| Long-document RAG | Claude 3.5 Haiku | Larger window (200k). |
| Screenshots / vision | Claude 3.5 Haiku | Claude 3.5 Haiku is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
