Codex + GPT-5.6 Sol: benchmark scores, price and ranking
Codex + GPT-5.6 Sol ranks #201 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.3), based on 1 benchmark results captured up to 2026-10-13.
- Type
- Frontier model
- Open weights
- No
- Aggregate rank
- #201 of 743 (score 50.3)
Across the 1 benchmark where at least ten models are scored, Codex + GPT-5.6 Sol is in the top 10% on 0 and in the top half on 1.
Codex + GPT-5.6 Sol benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Terminal-Bench 4.0 | 37.3% | #11 of 23 | Terminal-Bench 4.0 official leaderboard | 2026-10-13 |
About Codex + GPT-5.6 Sol
Codex + GPT-5.6 Sol is a frontier model. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Codex + GPT-5.6 Sol stands
On our aggregate score, Codex + GPT-5.6 Sol is #201 of 743 ranked models, around the middle of the table. Its score is 50.3; the scale is centred on 50, so it sits 0.3 points above the typical model. That beats 73% of the ranked field.
Codex + GPT-5.6 Sol, benchmark by benchmark
Terminal-Bench 4.0 puts Codex + GPT-5.6 Sol at 37.3%, #11 of 23. That beats 52% of the models tested, but 27.6 points short of Claude Code + Opus 5.5 (64.8%). The results either side are Grok Build + Grok 4.7 (37.6%) and Claude Code + GLM-5.3-Flash (35.8%). It covers real terminal tasks, agent+model config. The board median is 35.8%, so Codex + GPT-5.6 Sol is 1.5 points above it. Source: Terminal-Bench 4.0 official leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: Terminal-Bench 4.0 official leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #198 claude-opus-4-5-20251101-thinking-64k-high-effort (50.3)
- #199 Grok Build + Grok 4.7 (50.3)
- #200 CodeAct v1.8 (50.3)
- #202 DeepSeek V3.2 Reasoner (50.3)
- #203 chatgpt-4o-latest (2025-03-29) (50.2)
- #204 GPT-5.1-Codex-Max (50.2)
Compare it on the live leaderboard → · How the aggregate score works