Claude 3.7 Sonnet vs GPT-5.5
Claude 3.7 Sonnet (2024) and GPT-5.5 (2026) are frontier-tier reasoning models from Anthropic and OpenAI. Claude 3.7 Sonnet ships a 200k-token context window, while GPT-5.5 ships a 1.05m-token context window. On MMLU PRO, GPT-5.5 leads by 7.8 pts. On pricing, Claude 3.7 Sonnet costs $3/1M input tokens; GPT-5.5 ranges from $5 to $8/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
GPT-5.5 fits 5x more tokens; pick it for long-context work and Claude 3.7 Sonnet for tighter calls.
Decision scorecard
Local evidence first| Signal | Claude 3.7 Sonnet | GPT-5.5 |
|---|---|---|
| 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 | 1.05m |
| Cheapest output | $15/1M tokens | $30/1M tokens |
| Provider routes | 6 tracked | 4 tracked |
| Shared benchmarks | 4 shared | MMLU PRO leader |
Decision tradeoffs
- Claude 3.7 Sonnet has the lower cheapest tracked output price at $15/1M tokens.
- Claude 3.7 Sonnet has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
- GPT-5.5 holds a shared-benchmark lead on MMLU PRO, ahead by 7.8 points.
- GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags GPT-5.5 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
GPT-5.5
$11,500
Cheapest tracked route/tier: OpenAI API 0-272K input tokens
Estimated monthly gap: $5,350. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
- GPT-5.5 is $15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
- Claude 3.7 Sonnet is $15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-03-04 | 2026-04-23 |
| Context window | 200k | 1.05m |
| Parameters | — | — |
| 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 | 2025-12 |
Pricing and availability
| Pricing attribute | Claude 3.7 Sonnet | GPT-5.5 |
|---|---|---|
| Input price | $3/1M tokens |
|
| Output price | $15/1M tokens |
|
| Providers |
Capabilities
| Capability | Claude 3.7 Sonnet | GPT-5.5 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| 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 | GPT-5.5 |
|---|---|---|
| MMLU PRO | 80.3 | 88.1 |
| SWE-bench Verified | 70.3 | 82.6 |
| HumanEval | 93.0 | 94.2 |
| Aider Polyglot | 64.9 | 88.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude 3.7 Sonnet at 80.3 and GPT-5.5 at 88.1, with GPT-5.5 ahead by 7.8 points; SWE-bench Verified has Claude 3.7 Sonnet at 70.3 and GPT-5.5 at 82.6, with GPT-5.5 ahead by 12.3 points; HumanEval has Claude 3.7 Sonnet at 93 and GPT-5.5 at 94.2, with GPT-5.5 ahead by 1.2 points. The largest visible gap is 12.3 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 is close: both models cover vision, multimodal input, reasoning mode, function calling, and tool use. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Claude 3.7 Sonnet lists $3/1M input and $15/1M output tokens on the cheapest tracked provider, while GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output. A 70/30 input-output blend puts Claude 3.7 Sonnet lower by about $5.90 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 6 providers versus 4, so concentration risk also matters.
Choose Claude 3.7 Sonnet when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.5 when coding workflow support and larger context windows 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 GPT-5.5?
GPT-5.5 supports 1.05m tokens, while Claude 3.7 Sonnet supports 200k 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 GPT-5.5?
Claude 3.7 Sonnet lists $3/1M input and $15/1M output tokens on the cheapest tracked provider. GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or GPT-5.5 open source?
Claude 3.7 Sonnet is listed under Proprietary. GPT-5.5 is listed under Proprietary. 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 GPT-5.5?
Both Claude 3.7 Sonnet and GPT-5.5 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Claude 3.7 Sonnet or GPT-5.5?
Both Claude 3.7 Sonnet and GPT-5.5 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Claude 3.7 Sonnet and GPT-5.5?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. GPT-5.5 is available on OpenAI API, OpenRouter, Vercel AI Gateway, and AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.