gpt-5.6-sol-xhigh (codex-harness): benchmark scores, price and ranking
gpt-5.6-sol-xhigh (codex-harness) from OpenAI ranks #232 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.8), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- OpenAI
- Type
- Frontier model
- Open weights
- No
- Released
- 2026-07-09 (source: epoch)
- Cheapest API price
- $2.00 in / $10.00 out per million tokens (via openrouter, observed 2026-10-13T20:47Z)
- Aggregate rank
- #232 of 743 (score 49.8)
Across the 1 benchmark where at least ten models are scored, gpt-5.6-sol-xhigh (codex-harness) is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $2.00 per million tokens, is lower than that of 18% of the 427 models with a listed price.
gpt-5.6-sol-xhigh (codex-harness) benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| LMArena Code Elo | 1,620 | #17 of 30 | LMArena | 2026-10-07 |
About gpt-5.6-sol-xhigh (codex-harness)
gpt-5.6-sol-xhigh (codex-harness) is a frontier model from OpenAI. It was released on 2026-07-09, according to Epoch AI. The cheapest API listing we track charges $2.00 per million input tokens and $10.00 per million output tokens, through openrouter. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where gpt-5.6-sol-xhigh (codex-harness) stands
On our aggregate score, gpt-5.6-sol-xhigh (codex-harness) is #232 of 743 ranked models, around the middle of the table. Its score is 49.8; the scale is centred on 50, so it sits 0.2 points below the typical model. That beats 69% of the ranked field. Among the 88 ranked OpenAI models it is #32. The next one up is gpt-4-1106-preview at 50.2. The next one down is o3 (high) at 49.8.
gpt-5.6-sol-xhigh (codex-harness), benchmark by benchmark
gpt-5.6-sol-xhigh (codex-harness) lands below the middle on LMArena Code Elo: 1,620, #17 of 30, with 53% of the field scoring higher. Claude Opus 5.5 (max) leads at 1,814; the closest result above is deepseek-v4.1-flash-max at 1,620. It covers crowd-voted coding answers. The board median is 1,622, so gpt-5.6-sol-xhigh (codex-harness) is 2 points below it. Source: LMArena, captured 2026-10-07.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so gpt-5.6-sol-xhigh (codex-harness) costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on gpt-4o-2024-11-20 ($2.50) and gpt-4o-2024-08-06 ($2.50).
Release history
The OpenAI model released before it was GPT-5.6 Sol (max) on 2026-07-09, which scores 60.1. The next one was GPT-5.6 Terra (max) on 2026-07-09, at 57.8.
Reading these numbers
The 1 score on this page comes from 1 source: LMArena (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #229 claude-sonnet-4-20250514_12K (49.9)
- #230 Claude Opus 4.5 (128k thinking) (49.9)
- #231 Mistral Large 2 (2407) (49.9)
- #233 o3 (high) (49.8)
- #234 ERNIE-4.5-300B-A47B-Base-PT (49.8)
- #235 claude-haiku-4-5-20251001_1K (49.8)
More from OpenAI
- GPT-6 Astra (max) (#2, 64.0)
- GPT-6.1 Sol (max) (#5, 60.6)
- GPT-5.6 Sol (max) (#6, 60.1)
- GPT-6 Sol (max) (#7, 60.0)
- GPT-5.5 (xhigh) (#11, 58.0)
- GPT-5.6 Terra (max) (#12, 57.8)
Compare it on the live leaderboard → · How the aggregate score works