LLM•DIRExplore models

Curated head-to-head

Claude 3.7 Sonnet vs GPT-4.1

A workload-first comparison—not a universal winner. Review price, access, context, and evidence before choosing.

01 / API + app
by Anthropic

Claude 3.7 Sonnet

A hybrid-reasoning model that lets developers trade latency and cost for a longer visible reasoning process. It is a strong fit for code maintenance and multi-step document work.

reasoningcoding
CONTEXT200K
LICENSEProprietary
02 / API
by OpenAI

GPT-4.1

An API-focused model built around instruction following, code editing, and very long inputs. Its million-token context makes it useful for repository and document-set analysis.

codinglong-context
CONTEXT1.0M
LICENSEProprietary

The meaningful difference

Claude emphasizes controllable reasoning; GPT-4.1 offers a much larger input window and lower listed token prices.

Choose by workload

Choose Claude 3.7 Sonnet when your priority is agentic code repair and deliberate multi-step work. Its relevant strengths include controllable extended thinking and strong software-engineering performance.

Choose GPT-4.1 when your priority is very large repositories and precise API instructions. Account for no open weights before committing.

Specification comparison

MeasureClaude 3.7 SonnetGPT-4.1
AccessAPI + appAPI
LicenseProprietaryProprietary
Context200K1.0M
Provider-listed API input / 1M$3.00$2.00
Provider-listed API output / 1M$15.00$8.00
MMLU-Pro84.183.7
GPQA Diamond84.866.3
SWE-bench Verified70.354.6
LiveCodeBench46.444.7
SWE-Bench Pro——
Artificial Analysis Intelligence Index——

A fair test for this pair

Ask both models to repair the same ten multi-file issues, then measure passing tests, unnecessary edits, latency, and reasoning-token cost.

Bottom line: use reported results to form a hypothesis, then make the decision with representative private tasks. Missing scores remain missing; no composite winner is manufactured.