Model
GLM-5.2
Open flagship GLM for long-horizon coding agents and million-token context work
Compare providers (sorted by listed input price)
75 of 86 providers publish a price for GLM-5.2. The cheapest full-context option is CrofAI at $0.3/$1.05 per M — 77% below Zhipu AI's own price. Listed prices span 7.2× for identical weights.
Best price history
Daily lowest published price across live providers. A lower line is better for the buyer.
- Best input /M
- $0.3unchanged
- Best output /M
- $1.05unchanged
- Provider coverage
- 103
- 98 at the start · 24 snapshots
Published best prices are unchanged.
24 daily snapshots collected from Aug 21, 2026 through Sep 14, 2026. A price chart will appear after the first real move.
Price badge
https://www.vaanalytics.in/badge/zhipuai/glm-5.2.svgLive SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.
Recent changes
Changelog →- contextvia kilo · Sep 14, 2026
- context: 203K → 1.05M tokens
- output: 182K → 131K tokens
- repricedvia openrouter · Sep 14, 2026
- output: 182K → 131K tokens
- input: $0.6 → $0.683
- output: $2 → $2.15
- cache_read: $0.15 → $0.127
- repricedvia openrouter · Sep 13, 2026
- output: 131K → 182K tokens
- input: $0.966 → $0.6
- output: $3.04 → $2
- cache_read: $0.193 → $0.15
- new modelvia llmgateway-providers · Sep 13, 2026
- contextvia kilo · Sep 13, 2026
- context: 1M → 203K tokens
- output: 131K → 182K tokens
- repricedvia ofox · Sep 11, 2026
- input: $0.98 → $1.40
- output: $3.08 → $4.40
- cache_read: $0.182 → $0.26
Benchmarks
- SWE-Bench Pro ↗(resolve rate)report ↗Unclassified source62.1
- Terminal-Bench ↗(success rate)report ↗Unclassified source82.7
- FrontierSWE ↗(dominance)report ↗Unclassified source74.4
- Humanity's Last Exam ↗(accuracy)report ↗Unclassified source40.5
- Humanity's Last Exam ↗(accuracy)report ↗Unclassified source54.7
- CritPt(accuracy)report ↗Unclassified source20.9
- AIME(accuracy)report ↗Unclassified source99.2
- HMMT(accuracy)report ↗Unclassified source94.4
- HMMT(accuracy)report ↗Unclassified source92.5
- IMOAnswerBench(accuracy)report ↗Unclassified source91
- GPQA Diamond ↗(accuracy)report ↗Unclassified source91.2
- NL2Repo(resolve rate)report ↗Unclassified source48.9
- DeepSWE(resolve rate)report ↗Unclassified source46.2
- Program Bench(score)report ↗Unclassified source63.7
- Terminal-Bench ↗(success rate)report ↗Unclassified source81
- PostTrainBench(score)report ↗Unclassified source34.3
- SWE Marathon ↗(resolve rate)report ↗Unclassified source13
- MCP Atlas(score)report ↗Unclassified source76.8
- Tool-Decathlon(score)report ↗Unclassified source48.2
Scores a lab published about its own model are claims, not measurements. Rankings elsewhere on this site use independently measured scores only.
Weights
Standard open-source terms. Commercial use without additional conditions. Weights download without an access request.
licence and gating from the Hugging Face model card ↗ — the card is authoritative, this is a summary
Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.