ModelRefs / DeepSeek R1 vs Claude 3 Haiku
DeepSeek R1 vs Claude 3 Haiku
DeepSeek R1 vs Claude 3 Haiku: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Claude 3 Haiku: Claude 3 Haiku is the speed-and-cost tier of Anthropic's original Claude 3 family, built for high-volume work such as customer support, document triage and many small tasks in parallel, with image input across a 200,000-token context window. Anthropic measured it at 21,000 tokens per second for prompts under 32,000 tokens. The claude-3-haiku-20240307 snapshot was deprecated on 19 February 2026 and retired on Anthropic-operated platforms on 20 April 2026, with Claude Haiku 4.5 as the replacement.
DeepSeek R1: DeepSeek R1 is DeepSeek's open-source reasoning model, trained with reinforcement learning to produce chain-of-thought reasoning before answering. Released in January 2025 under the MIT license, it matched or exceeded closed reasoning models on several math and coding benchmarks.
Context window: Claude 3 Haiku accepts up to 200,000 tokens, DeepSeek R1 up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
Claude 3 Haiku vs DeepSeek R1 at a glance
| Attribute | Claude 3 Haiku | DeepSeek R1 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Released | 2024-03-13 | 2025-01-20 |
| Context window | 200,000 tokens | 128,000 tokens |
| Input price | $0.25/M tokens | $0.55/M tokens |
| Output price | $1.25/M tokens | $2.19/M tokens |
| Licence | Proprietary | MIT |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text, vision | text |
Benchmarks reported for both
| Benchmark | Claude 3 Haiku | DeepSeek R1 | Reported |
|---|---|---|---|
| GPQA Diamond (accuracy) | 33.3 | 71.5 | 2024-03-04 / 2025-01-20 |
Each row compares the same benchmark, the same reported metric, and the same task set. Scores are as published by their cited sources on the dates shown. Different runs still use different harnesses and prompts, so treat these as directional evidence rather than a head-to-head result.
Where they differ most
- Reasoning: Claude 3 Haiku 12%, DeepSeek R1 75%. DeepSeek R1 leads on this dimension.
- Cost Efficiency: Claude 3 Haiku 83%, DeepSeek R1 75%. Claude 3 Haiku leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to DeepSeek R1 vs Claude 3 Haiku.
Frequently asked questions
Which is better, DeepSeek R1 or Claude 3 Haiku?
DeepSeek R1 and Claude 3 Haiku target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is DeepSeek R1 cheaper than Claude 3 Haiku?
Compare $0.00055 vs $0.00025 on this page.