GPT-5-codex (high): benchmark scores, price and ranking

GPT-5-codex (high) from OpenAI ranks #183 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.5), based on 1 benchmark results captured up to 2026-10-13.

Organisation: OpenAI
Type: Frontier model
Open weights: No
Released: 2025-09-15 (source: epoch)
Cheapest API price: $1.25 in / $10.00 out per million tokens (via azure, observed 2026-10-13T20:47Z)
Aggregate rank: #183 of 743 (score 50.5)

Across the 1 benchmark where at least ten models are scored, GPT-5-codex (high) is in the top 10% on 0 and in the top half on 1.

Its cheapest listed input price, $1.25 per million tokens, is lower than that of 26% of the 427 models with a listed price.

GPT-5-codex (high) benchmark results

GPT-5-codex (high) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
WeirdML	54.5%	#22 of 109	Epoch AI Benchmarking Hub	2026-10-13

About GPT-5-codex (high)

GPT-5-codex (high) is a frontier model from OpenAI. It was released on 2025-09-15, according to Epoch AI. The cheapest API listing we track charges $1.25 per million input tokens and $10.00 per million output tokens, through azure. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where GPT-5-codex (high) stands

On our aggregate score, GPT-5-codex (high) is #183 of 743 ranked models, in the top quarter. Its score is 50.5; the scale is centred on 50, so it sits 0.5 points above the typical model. That beats 75% of the ranked field. Among the 88 ranked OpenAI models it is #26. The next one up is chatgpt-4o-01-29-2025 at 50.6. The next one down is chatgpt-4o-latest (2025-03-29) at 50.2.

GPT-5-codex (high), benchmark by benchmark

WeirdML puts GPT-5-codex (high) at 54.5%, #22 of 109. That beats 80% of the models tested, but 38.8 points short of GPT-6 Astra (max) (93.3%). The results either side are Kimi K2.6 (55.9%) and Kimi K2.7 Code (54.1%). It covers unusual machine-learning tasks. The board median is 41.2%, so GPT-5-codex (high) is 13.4 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so GPT-5-codex (high) 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 Flash 0731 (max) ($0.016, 53.1), GLM-5.3-Flash (max) ($0.026, 49.6). Similar scores cost more on glm-5p1 ($1.40) and Qwen3.8 Max (0902) (xhigh) ($1.65).

Release history

The OpenAI model released before it was GPT-5 nano (high) on 2025-08-07, which scores 43.8. The next one was GPT-5.1 Codex on 2025-11-12, at 50.7.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. The leaderboard also lists 1 other reasoning-effort setting of this model, which redirect here. This page shows the highest. With 1 results the aggregate rank can move a lot when one new score arrives.

GPT-5-codex (high) is also listed at 1 other reasoning-effort setting; this page shows the highest-effort row, which is the one the leaderboard keeps by default.

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