Claude Haiku 4.5 vs DeepSeek R1
Claude Haiku 4.5 (2025) and DeepSeek R1 (2025) are frontier reasoning models from Anthropic and DeepSeek. Claude Haiku 4.5 ships a 200k-token context window, while DeepSeek R1 ships a 128K-token context window. On SWE-bench Verified, Claude Haiku 4.5 leads by 24.1 pts. On pricing, DeepSeek R1 costs $0.1/1M input tokens versus $0.8/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
DeepSeek R1 is ~700% cheaper at $0.1/1M; pay for Claude Haiku 4.5 only for coding workflow support.
Specs
| Released | 2025-10-01 | 2025-01-20 |
| Context window | 200k | 128K |
| Parameters | — | 671B, 37B Active |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-02 | - |
Pricing and availability
| Claude Haiku 4.5 | DeepSeek R1 | |
|---|---|---|
| Input price | $0.8/1M tokens | $0.1/1M tokens |
| Output price | $4/1M tokens | $0.3/1M tokens |
| Providers |
Capabilities
| Claude Haiku 4.5 | DeepSeek R1 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Claude Haiku 4.5 | DeepSeek R1 |
|---|---|---|
| SWE-bench Verified | 73.3 | 49.2 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Claude Haiku 4.5 at 73.3 and DeepSeek R1 at 49.2, with Claude Haiku 4.5 ahead by 24.1 points. The largest visible gap is 24.1 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Claude Haiku 4.5, multimodal input: Claude Haiku 4.5, reasoning mode: DeepSeek R1, function calling: Claude Haiku 4.5, and tool use: Claude Haiku 4.5. Both models share structured outputs and code execution, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Claude Haiku 4.5 lists $0.8/1M input and $4/1M output tokens, while DeepSeek R1 lists $0.1/1M input and $0.3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 lower by about $1.6 per million blended tokens. Availability is 8 providers versus 13, so concentration risk also matters.
Choose Claude Haiku 4.5 when coding workflow support and larger context windows are central to the workload. Choose DeepSeek R1 when coding workflow support, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude Haiku 4.5 or DeepSeek R1?
Claude Haiku 4.5 supports 200k tokens, while DeepSeek R1 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude Haiku 4.5 or DeepSeek R1?
DeepSeek R1 is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.8/1M input and $4/1M output tokens. DeepSeek R1 costs $0.1/1M input and $0.3/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Haiku 4.5 or DeepSeek R1 open source?
Claude Haiku 4.5 is listed under Proprietary. DeepSeek R1 is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude Haiku 4.5 or DeepSeek R1?
Claude Haiku 4.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude Haiku 4.5 or DeepSeek R1?
Claude Haiku 4.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude Haiku 4.5 and DeepSeek R1?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.