Coding LLMs / Comparison Matrix SWE-bench Verified, March 2026
Model
SWE-bench
Reasoning
Context
Cost
Claude 4.6 Opus Agentic / autonomous coding RECOMMENDED
80.9%leads
200Ktokens
$$$premium
Gemini 3.1 Pro Repo-scale context / logic
highstrong
2Mtokens
$$$premium
DeepSeek V4 Cost-sensitive / high-volume
~4.6comparable
largemoe
$cheapest
GPT-5.4 Codex Multi-step planning / stable
solidreliable
largetokens
$$mid
// dimensions per post. Opus leads SWE-bench Verified at 80.9%, the only repo-level metric that matters.