Model Release Radar
Price/capability frontier position, benchmark scores, and community signal
Model Release Radar
GLM-5.2
zai·open weights·MIT·released Tuesday, Jun 16, 2026
Token prices
USD per million tokens via OpenRouter, Z.AI (z-ai/fp8). Checked 2026-10-16 22:03 UTC.
| Token type | USD /1M |
|---|---|
| Input | $1.4 |
| Output | $4.4 |
| Cache read | $0.26 |
| Cache write (default) | Unknown |
| Cache write (1 hour) | Unknown |
Cache-write rates with a verified basis replace the ordinary input charge. Unknown rates are never treated as zero.
Frontier position
- Behind frontier AA coding index (blended per-1M-token price, 3:1 input/output; not a measured per-task cost) - GLM-5.3, Muse Spark 1.3, Muse Spark 1.2, Muse Spark 1.1, Gemini 3.8 Flash are priced the same or lower and at least as capable.
- Behind frontier AA intelligence index (blended per-1M-token price, 3:1 input/output; not a measured per-task cost) - GLM-5.3, Muse Spark 1.3, Muse Spark 1.2, Muse Spark Open, Muse Spark 1.1 are priced the same or lower and at least as capable.
- Behind frontier DeepSWE pass@1 (agentic coding) (measured USD per task) - Muse Spark 1.2, GPT-5.6 Sol, Grok 4.6, Claude Opus 5, Grok 4.5 are priced the same or lower and at least as capable.
Cost vs. capability
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Benchmark scores
Measured cost per task (DeepSWE)
| Benchmark | Pass@1 | Measured cost / task | Frontier |
|---|---|---|---|
| DeepSWE (agentic coding) (max effort, 95% CI 42.0%-45.5%, 4 runs) | 43.8% | $3.92 (median $3.46) | behind |
Artificial Analysis scores
Artificial Analysis scores describe capability. Compare them against estimated token spend with your cache mix; these estimates are not measured task costs.
| Benchmark | Score |
|---|---|
| AA intelligence index | 33.7 |
| AA coding index | 68.8 |
Community signal
| Variant | Coding Elo | Overall Elo | Votes |
|---|---|---|---|
| Rating | 1,486 | 1,470 | 49,820 |