Ranked by DeepSWE v1.1 - 5 open-weight models
Best open-weight AI models for coding
In board data through September 22, 2026, GLM-5.3 (69%±3%) and Kimi K3 (69%±5%) are tied for first among open-weight models on the official DeepSWE v1.1 leaderboard, 6 points ahead of GLM-5.3-Flash at 63%±4%. GLM-5.3 lists at $1.40 input / $4.40 output per 1M tokens; Kimi K3 lists at $3 input / $15 output per 1M tokens. A fixed rule, the lowest output price per 1M tokens among models with a registry price that score within 5 points of the top score, picks GLM-5.3 at 69%±3% ($1.40 input / $4.40 output per 1M tokens).
Board data through , checked . How this is ranked
DeepSWE v1.1 ranking
| Rank | Model | Provider | DeepSWE v1.1 | Source | Input / 1M | Output / 1M | Context | Weights | SWE-bench Verifiedthru Feb 17, 2026 | SWE-Bench Proundated | LiveCodeBenchthru Aug 1, 2025 | Aider Polyglotthru Oct 3, 2025 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | GLM-5.3Board: glm-5.3 | Z.ai | 69%±3%Official leaderboard - mini-swe-agent, max effort, Pass@1, v1.1 (113 tasks), best effort level shown; avg cost $3.99/task | deepswe.datacurve.ai | $1.40 | $4.40 | 1M | Open | - | - | - | - |
| 1 | Kimi K3Board: kimi-k3 | Moonshot AI | 69%±5%Official leaderboard - mini-swe-agent, max effort, Pass@1, v1.1 (113 tasks), best effort level shown; avg cost $4.65/task | deepswe.datacurve.ai | $3 | $15 | 1.05M | Open | - | - | - | - |
| 3 | GLM-5.3-FlashBoard: glm-5.3-flash | Z.ai | 63%±4%Official leaderboard - mini-swe-agent, max effort, Pass@1, v1.1 (113 tasks), best effort level shown; avg cost $0.24/task | deepswe.datacurve.ai | $0.15 | $0.50 | 1M | Open | - | - | - | - |
| 3 | DeepSeek V4 ProBoard: deepseek-v4-pro | DeepSeek | 63%±6%Official leaderboard - mini-swe-agent, max effort, Pass@1, v1.1 (113 tasks), best effort level shown; avg cost $1.67/task | deepswe.datacurve.ai | $1.32 | $3.96 | 1M | Open | - | - | - | - |
| 5 | GLM-5.2Board: glm-5.2 | Z.ai | 44%±2%Official leaderboard - mini-swe-agent, max effort, Pass@1, v1.1 (113 tasks), best effort level shown; avg cost $3.92/task | deepswe.datacurve.ai | $1.40 | $4.40 | 1M | Open | - | - | - | - |
Prices in USD per 1M tokens at the standard rate, from each provider's pricing page. A dash means the board name does not match a model in our registry or the model is not on that board. Each related-board score links to its source.
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API capabilities
Providers of the top 3
FAQ
What is the best open-weight AI model for coding?
GLM-5.3 (69%±3%) and Kimi K3 (69%±5%) are tied for first among open-weight models by DeepSWE v1.1, board data through September 22, 2026. One benchmark is not a verdict: settings differ between rows, so test on your own workload before you switch.
What is the cheapest open-weight AI model for coding near the top of DeepSWE v1.1?
Taking every ranked model within 5 points of the top score that has a price in our registry, GLM-5.3 has the lowest output price: $1.40 input / $4.40 output per 1M tokens, with 69%±3% by DeepSWE v1.1, board data through September 22, 2026.
How is this coding ranking built?
Rows follow the DeepSWE v1.1 board's own order, checked on October 17, 2026; its newest entry is dated September 22, 2026, and a use case is only published while that date is within 120 days of the check. Each model appears once. Prices, context windows and weights come from each provider's first-party pricing page in our model registry; a model the registry does not list shows a dash.
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