Model Release Radar
Price/capability frontier position, benchmark scores, and community signal
Model Release Radar
GPT-5.6 Luna
openai·closed weights·Proprietary·released Thursday, Jul 9, 2026
Token prices
USD per million tokens via OpenRouter, OpenAI (openai). Checked 2026-10-17 08:54 UTC.
| Token type | USD /1M |
|---|---|
| Input | $0.2 |
| Output | $1.2 |
| Cache read | $0.02 |
| Cache write (30 minutes) | $0.25 |
| Cache write (1 hour) | Unknown |
Cache-write rates with a verified basis replace the ordinary input charge. Unknown rates are never treated as zero. Long-context tiers apply; use the comparison page for a prompt length estimate.
Frontier position
- Behind frontier AA coding index (blended per-1M-token price, 3:1 input/output; not a measured per-task cost) - DeepSeek V4 Pro 0813, GLM-5.3-Flash, DeepSeek V4 Flash 0731 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) - DeepSeek V4 Pro 0813, GLM-5.3-Flash, GPT-6 Luna, Claude Haiku 5.5, MiMo-V2.6-Flash are priced the same or lower and at least as capable.
- Behind frontier DeepSWE pass@1 (agentic coding) (measured USD per task) - GLM-5.3-Flash is 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) (xhigh effort, 95% CI 54.7%-59.0%, 4 runs) | 56.9% | $0.307 (median $0.249) | 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 | 34.6 |
| AA coding index | 68.6 |
Community signal
| Variant | Coding Elo | Overall Elo | Votes |
|---|---|---|---|
| Rating | 1,466 | 1,431 | 41,109 |