ModelRefs / Claude 3.5 Haiku vs DeepSeek R1
Claude 3.5 Haiku vs DeepSeek R1
Claude 3.5 Haiku vs DeepSeek R1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Claude 3.5 Haiku: Claude 3.5 Haiku is Anthropic's fast, low-cost model from late 2024, built for high-volume work such as classification, extraction and routing across a 200,000-token context window. The claude-3-5-haiku-20241022 snapshot was deprecated on 19 December 2025 and retired on Anthropic-operated platforms on 19 February 2026, with Claude Haiku 4.5 named as its 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 3.5 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 3.5 Haiku vs DeepSeek R1 at a glance
| Attribute | Claude 3.5 Haiku | DeepSeek R1 |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Released | 2024-11-04 | 2025-01-20 |
| Context window | 200,000 tokens | 128,000 tokens |
| Input price | $0.8/M tokens | $0.55/M tokens |
| Output price | $4/M tokens | $2.19/M tokens |
| Licence | Proprietary | MIT |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text | text |
Benchmarks reported for both
| Benchmark | Claude 3.5 Haiku | DeepSeek R1 | Reported |
|---|---|---|---|
| GPQA Diamond (accuracy) | 41.6 | 71.5 | 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 3.5 Haiku 25%, DeepSeek R1 75%. DeepSeek R1 leads on this dimension.
- Cost Efficiency: Claude 3.5 Haiku 65%, DeepSeek R1 75%. DeepSeek R1 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 Claude 3.5 Haiku vs DeepSeek R1.
Frequently asked questions
Which is better, Claude 3.5 Haiku or DeepSeek R1?
Claude 3.5 Haiku and DeepSeek R1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Claude 3.5 Haiku cheaper than DeepSeek R1?
Compare $0.00080 vs $0.00055 on this page.