GLM-5.2
- Input price
- —
- Per 1 million tokens (USD)
- Output price
- —
- Per 1 million tokens (USD)
- Effort levels
- not collected
- Benchmark results
- 1total
- Benchmark types: 1
Model information
- API model ID
- glm-5.2
- release date
- Unknown
- effort
- not collected
- Effort source
- Not collected (a call example on the docs.z.ai GLM-5.2 page has "reasoning_effort": "max", but there is no list of levels).
- Claude Code
- unknown
- Codex
- unknown
- Availability notes
- Not collected (the official model list for Claude Code and the one for Codex were not checked this time).
Price (USD per 1 million tokens)
Prices do not vary by effort; token consumption does.
| input | — |
|---|---|
| output | — |
| cache read | — |
| cache write | — |
Not collected (the pricing page has not been checked).
Benchmark results
| Benchmark | effort | Score | Source cost (metric) | measured/reported by | source | Conditions and extraction method |
|---|---|---|---|---|---|---|
| τ²-bench banking_knowledge (v1.0.1)not stated | not stated | 37.1% | — | Sierra | τ²-bench leaderboard submission glm-5-2_sierra_2026-08-04 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13 | τ²-bench leaderboard submission glm-5-2_sierra_2026-08-04 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Z.ai": Run by Sierra, which operates τ²-bench (third-party measurement). Verified on the leaderboard (trajectories available, prompts not modified, no questions omitted). The value is pass^1 (%). The official effort list has not been collected, so no effort for the source effort label "xhigh" (reasoning_effort "xhigh"). User simulator gpt-5.2 (reasoning_effort low). Search configuration retrieval_config "alltools". Evaluation date 2026-07-24. Notes summary: 4 trial runs; seed 300.transcribed from tableSource excerptbanking_knowledge.pass_1=37.11340206185567Location In submissions/glm-5-2_sierra_2026-08-04/submission.json: results.banking_knowledge.pass_1 (line 17 of file). model_name "GLM-5.2". methodology.notes (line 36) |