Claude Sonnet 4.5 vs DeepSeek R1
Claude Sonnet 4.5 (2025) and DeepSeek R1 (2025) are frontier-tier reasoning models from Anthropic and DeepSeek. Claude Sonnet 4.5 ships a 200k-token context window, while DeepSeek R1 ships a 128k-token context window. On SWE-bench Verified, Claude Sonnet 4.5 leads by 28 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Claude Sonnet 4.5 is safer overall; choose DeepSeek R1 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Claude Sonnet 4.5 | DeepSeek R1 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 128k |
| Cheapest output | $15/1M tokens | $0.30/1M tokens |
| Provider routes | 8 tracked | 14 tracked |
| Shared benchmarks | SWE-bench Verified leader | 2 shared |
Decision tradeoffs
- Claude Sonnet 4.5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 28 points.
- Claude Sonnet 4.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude Sonnet 4.5 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Claude Sonnet 4.5 for Coding, RAG, and Agents.
- DeepSeek R1 has the lower cheapest tracked output price at $0.30/1M tokens.
- DeepSeek R1 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek R1 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude Sonnet 4.5
$6,150
Cheapest tracked route/tier: Microsoft Foundry
DeepSeek R1
$155
Cheapest tracked route/tier: Bitdeer AI
Estimated monthly gap: $5,995. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Microsoft Foundry, and AWS Bedrock; start route-level A/B tests there.
- DeepSeek R1 is $14.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- DeepSeek R1 adds Code execution in local capability data.
- Provider overlap exists on Microsoft Foundry, GCP Vertex AI, and AWS Bedrock; start route-level A/B tests there.
- Claude Sonnet 4.5 is $14.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- Claude Sonnet 4.5 adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-29 | 2025-01-20 |
| Context window | 200k | 128k |
| Parameters | — | 671B, 37B Active |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-12 | 2023-12 |
Pricing and availability
| Pricing attribute | Claude Sonnet 4.5 | DeepSeek R1 |
|---|---|---|
| Input price |
| $0.10/1M tokens |
| Output price |
| $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Claude Sonnet 4.5 | DeepSeek R1 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude Sonnet 4.5 | DeepSeek R1 |
|---|---|---|
| SWE-bench Verified | 77.2 | 49.2 |
| Google-Proof Q&A | 83.4 | 71.5 |
Continue comparing
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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.