Claude 3.7 Sonnet vs Claude 3.5 Sonnet
Claude 3.7 Sonnet (2024) and Claude 3.5 Sonnet (2024) are frontier-tier reasoning models from Anthropic. Claude 3.7 Sonnet ships a 200k-token context window, while Claude 3.5 Sonnet ships a 200k-token context window. On MMLU PRO, Claude 3.7 Sonnet leads by 3.1 pts. On pricing, both list $3/1M input and $15/1M output tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Pick Claude 3.7 Sonnet for general evaluation; token pricing is tied, so keep Claude 3.5 Sonnet only for already-validated prompts or route constraints.
Decision scorecard
Local evidence first| Signal | Claude 3.7 Sonnet | Claude 3.5 Sonnet |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 200k |
| Cheapest output | $15/1M tokens | $15/1M tokens |
| Provider routes | 6 tracked | 6 tracked |
| Shared benchmarks | MMLU PRO leader | 6 shared |
Decision tradeoffs
- Claude 3.7 Sonnet holds a shared-benchmark lead on MMLU PRO, ahead by 3.1 points.
- Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
- Local decision data tags Claude 3.5 Sonnet 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 3.7 Sonnet
$6,150
Cheapest tracked route/tier: GCP Vertex AI
Claude 3.5 Sonnet
$6,150
Cheapest tracked route/tier: GCP Vertex AI
Estimated monthly gap: $0.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI, AWS Bedrock, and Anthropic; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Provider overlap exists on GCP Vertex AI, Replicate API, and OpenRouter; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-03-04 | 2024-06-20 |
| Context window | 200k | 200k |
| Parameters | — | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-11 | 2024-04 |
Pricing and availability
| Pricing attribute | Claude 3.7 Sonnet | Claude 3.5 Sonnet |
|---|---|---|
| Input price | $3/1M tokens | $3/1M tokens |
| Output price | $15/1M tokens | $15/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.7 Sonnet | Claude 3.5 Sonnet |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Claude 3.5 Sonnet |
|---|---|---|
| MMLU PRO | 80.3 | 77.2 |
| SWE-bench Verified | 70.3 | 49.0 |
| LiveCodeBench | 68.9 | 48.7 |
| Massive Multi-discipline Multimodal Understanding | 75.0 | 68.3 |
| HumanEval | 93.0 | 92.0 |
| Aider Polyglot | 64.9 | 51.6 |
Continue comparing
- Claude 3.7 Sonnet vs Phi-4 Mini Flash Reasoning
- Claude 3.5 Sonnet v2 vs Claude 3.7 Sonnet
- Claude 3.7 Sonnet vs Qwen3-Max
- Claude 3.7 Sonnet vs Claude Sonnet 4.6
- Claude 3.7 Sonnet vs Claude Opus 4.6
- Claude 3.7 Sonnet vs DeepSeek V4 Pro
- Claude 3.7 Sonnet vs DeepSeek V4 Flash
- Claude 3.7 Sonnet vs Claude Opus 4.5
- Claude 3.5 Sonnet vs Claude Sonnet 4.6
- Claude 3.7 Sonnet vs Claude Opus 4.7
Popular comparisons for Claude 3.7 Sonnet
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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.