Mercury 2.5 (high): benchmark scores, price and ranking
Mercury 2.5 (high) from Inception Labs ranks #439 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Inception Labs
- Type
- Frontier model
- Open weights
- No
- Released
- 2026-09-08 (source: epoch)
- Cheapest API price
- $0.040 in / $0.150 out per million tokens (via openrouter, observed 2026-10-13T20:47Z)
- Aggregate rank
- #439 of 743 (score 47.4)
Across the 1 benchmark where at least ten models are scored, Mercury 2.5 (high) is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.040 per million tokens, is lower than that of 94% of the 427 models with a listed price.
Mercury 2.5 (high) benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| ALE-Bench | 302 | #71 of 79 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Mercury 2.5 (high)
Mercury 2.5 (high) is a frontier model from Inception Labs. It was released on 2026-09-08, according to Epoch AI. The cheapest API listing we track charges $0.040 per million input tokens and $0.150 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 Mercury 2.5 (high) stands
On our aggregate score, Mercury 2.5 (high) is #439 of 743 ranked models, around the middle of the table. Its score is 47.4; the scale is centred on 50, so it sits 2.6 points below the typical model. That beats 41% of the ranked field. Among the 2 ranked Inception Labs models it is #1. The next one down is Mercury 2 at 44.9.
Mercury 2.5 (high), benchmark by benchmark
ALE-Bench is a weak spot. Mercury 2.5 (high) scores 302, #71 of 79, behind 89% of the models measured. The leader, GPT-6 Astra (max), reaches 2,951. It covers AtCoder heuristic-optimisation contests (performance rating). The board median is 764, so Mercury 2.5 (high) is 462 points below 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 Mercury 2.5 (high) costs less 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), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Llama-3.2-11B-Vision-Instruct ($0.049) and granite-4.1-8b ($0.050).
Release history
The Inception Labs model released before it was Mercury 2 on 2026-03-04, which scores 44.9.
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.
Mercury 2.5 (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.
Models ranked nearby
- #436 Magistral Medium (47.4)
- #437 Magistral Small (47.4)
- #438 mini-SWE-agent + Gemini 3.7 Flash (47.4)
- #440 DeepSeek-V3.1-Terminus (47.4)
- #441 gemini-1.5-flash-latest (47.4)
- #442 claude-haiku-4-5-20251001_32K (47.3)
More from Inception Labs
- Mercury 2 (#614, 44.9)
Compare it on the live leaderboard → · How the aggregate score works