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Claude 3.7 Sonnet vs DeepSeek R1

Claude 3.7 Sonnet (2024) and DeepSeek R1 (2025) are frontier-tier reasoning models from Anthropic and DeepSeek. Claude 3.7 Sonnet ships a 200K-token context window, while DeepSeek R1 ships a 128K-token context window. On SWE-bench Verified, Claude 3.7 Sonnet leads by 21.1 pts. On pricing, DeepSeek R1 costs $0.1/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

DeepSeek R1 is ~2900% cheaper at $0.1/1M; pay for Claude 3.7 Sonnet only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude 3.7 SonnetDeepSeek R1
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window200K128K
Cheapest output$15/1M tokens$0.3/1M tokens
Provider routes6 tracked13 tracked
Shared benchmarksSWE-bench Verified leader3 rows

Decision tradeoffs

Choose Claude 3.7 Sonnet when...
  • Claude 3.7 Sonnet leads the largest shared benchmark signal on SWE-bench Verified by 21.1 points.
  • Claude 3.7 Sonnet has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude 3.7 Sonnet uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
Choose DeepSeek R1 when...
  • DeepSeek R1 has the lower cheapest tracked output price at $0.3/1M tokens.
  • DeepSeek R1 has broader tracked provider coverage for fallback and procurement flexibility.
  • 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 prices on this page.

Lower estimate DeepSeek R1

Claude 3.7 Sonnet

$6,150

Cheapest tracked route: GCP Vertex AI

DeepSeek R1

$155

Cheapest tracked route: Bitdeer AI

Estimated monthly gap: $5,995. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude 3.7 Sonnet -> DeepSeek R1
  • Provider overlap exists on OpenRouter, AWS Bedrock, and Replicate API; 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 Function calling before moving production traffic.
DeepSeek R1 -> Claude 3.7 Sonnet
  • Provider overlap exists on GCP Vertex AI, Replicate API, and OpenRouter; start route-level A/B tests there.
  • Claude 3.7 Sonnet is $14.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude 3.7 Sonnet adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2024-03-042025-01-20
Context window200K128K
Parameters671B, 37B Active
Architecturedecoder onlydecoder only
LicenseProprietaryOpen Source
Knowledge cutoff2024-11-

Pricing and availability

Pricing attributeClaude 3.7 SonnetDeepSeek R1
Input price$3/1M tokens$0.1/1M tokens
Output price$15/1M tokens$0.3/1M tokens
Providers

Capabilities

CapabilityClaude 3.7 SonnetDeepSeek R1
VisionYesNo
MultimodalYesNo
ReasoningYesYes
Function callingYesNo
Tool useYesNo
Structured outputsYesYes
Code executionYesYes

Benchmarks

BenchmarkClaude 3.7 SonnetDeepSeek R1
SWE-bench Verified70.349.2
HumanEval93.089.9
Aider Polyglot64.956.9

Deep dive

On shared benchmark coverage, SWE-bench Verified has Claude 3.7 Sonnet at 70.3 and DeepSeek R1 at 49.2, with Claude 3.7 Sonnet ahead by 21.1 points; HumanEval has Claude 3.7 Sonnet at 93 and DeepSeek R1 at 89.9, with Claude 3.7 Sonnet ahead by 3.1 points; Aider Polyglot has Claude 3.7 Sonnet at 64.9 and DeepSeek R1 at 56.9, with Claude 3.7 Sonnet ahead by 8.0 points. The largest visible gap is 21.1 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 3.7 Sonnet, multimodal input: Claude 3.7 Sonnet, function calling: Claude 3.7 Sonnet, and tool use: Claude 3.7 Sonnet. Both models share reasoning mode, 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 3.7 Sonnet lists $3/1M input and $15/1M 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 $6.44 per million blended tokens. Availability is 6 providers versus 13, so concentration risk also matters.

Choose Claude 3.7 Sonnet 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 3.7 Sonnet or DeepSeek R1?

Claude 3.7 Sonnet 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 3.7 Sonnet or DeepSeek R1?

DeepSeek R1 is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M 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 3.7 Sonnet or DeepSeek R1 open source?

Claude 3.7 Sonnet 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 3.7 Sonnet or DeepSeek R1?

Claude 3.7 Sonnet 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 3.7 Sonnet or DeepSeek R1?

Claude 3.7 Sonnet 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 3.7 Sonnet and DeepSeek R1?

Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. 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: 2026-05-11. Data sourced from public model cards and provider documentation.