Claude Sonnet 4.6 vs GPT-5 mini

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Claude Sonnet 4.6

Anthropic · Apr 2026

Anthropic's mid-tier workhorse: near-Opus capability at $3/$15, and the leader on the Finance Agent benchmark.

GPT-5 mini

OpenAI · Aug 2025

A fast, cheap distillation of GPT-5 for high-volume workloads — one fifth of the flagship's price with most of its everyday capability.

The verdict

Claude Sonnet 4.6 wins 1 of the 1 benchmarks these models share, against 0 for GPT-5 mini. On price the gap is dramatic: GPT-5 mini works out roughly 8.7x cheaper per blended million tokens. Claude Sonnet 4.6 also takes 1M of context versus 400K for GPT-5 mini.

Benchmark head-to-head 10

SWE-bench Verified
~79.6%~71%
Claude Sonnet 4.6GPT-5 mini

Specs & pricing

Claude Sonnet 4.6GPT-5 mini
modhub Index
Input price / 1M$3$0.25
Output price / 1M$15$2
Context window1M400K
Max output64K128K
Open weightsnono
Reasoning modelyesyes
Multimodal inputtext, imagetext, image
Knowledge cutoffJan 2026May 2024
ReleasedApr 2026Aug 2025
Example monthly cost*$52.50$5.50

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, Claude Sonnet 4.6 or GPT-5 mini?
Claude Sonnet 4.6 wins 1 of the 1 benchmarks these models share, against 0 for GPT-5 mini. On price the gap is dramatic: GPT-5 mini works out roughly 8.7x cheaper per blended million tokens. Claude Sonnet 4.6 also takes 1M of context versus 400K for GPT-5 mini.
Which is cheaper, Claude Sonnet 4.6 or GPT-5 mini?
Claude Sonnet 4.6 costs $3/$15 per million input/output tokens, while GPT-5 mini costs $0.25/$2. For a typical workload of 10M input and 1.5M output tokens per month, that's $52.50 versus $5.50.
Which model is better for coding, Claude Sonnet 4.6 or GPT-5 mini?
On SWE-bench Verified — the standard agentic-coding benchmark — Claude Sonnet 4.6 scores ~79.6% versus ~71% for GPT-5 mini, making Claude Sonnet 4.6 the stronger pick for coding agents.

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