Best AI models for coding
The top AI models for real-world coding, ranked by SWE-Bench Verified — which measures how often a model resolves actual GitHub issues. Every one is available on anyAInow from a single balance; pay only for what you use, no subscription.
| # | Model | SWE-Bench Verified | |
|---|---|---|---|
| 1 | Claude Opus 4.8 AnthropicFlagship·from $30 / 1M | 88.6% | Try → |
| 2 | Gemini 3.1 Pro GoogleFlagship·from $20 / 1M | 80.6% | Try → |
| 3 | MiniMax M3 MiniMaxOpen·from $10 / 1M | 80.5% | Try → |
| 4 | Kimi K2 Moonshot (Kimi)Balanced·from $10 / 1M | 80.2% | Try → |
| 5 | Claude Sonnet 4.6 AnthropicBalanced·from $30 / 1M | 79.6% | Try → |
| 6 | Qwen 3.6 Plus QwenOpen·from $10 / 1M | 78.8% | Try → |
| 7 | Qwen 3.7 Plus QwenOpen·from $10 / 1M | 77.7% | Try → |
| 8 | Mistral Medium 3.5 MistralBalanced·from $20 / 1M | 77.6% | Try → |
| 9 | Claude Haiku 4.5 AnthropicFast·from $10 / 1M | 73.3% | Try → |
| 10 | Gemini 2.5 Pro GoogleFlagship·from $20 / 1M | 63.2% | Try → |
| 11 | DeepSeek R1 DeepSeekReasoning·from $10 / 1M | 44.6% | Try → |
Benchmarks via llm-stats.com, as of 28 Jun 2026. Figures are publisher-reported where not independently verified. Prices shown are the anyAInow pay-as-you-go floor (per 1M tokens); free-tier models deduct nothing.