claude-2.1: benchmark scores, price and ranking

claude-2.1 from Anthropic ranks #732 of 743 LLMs on the LLMs Tiger aggregate benchmark score (40.6), based on 5 benchmark results captured up to 2026-10-13.

Organisation
Anthropic
Type
Frontier model
Open weights
No
Released
2023-11-21 (source: curated)
Aggregate rank
#732 of 743 (score 40.6)

Relative to other models, claude-2.1 is strongest on Epoch ECI (#131 of 204) and weakest on WeirdML (#106 of 109).

Across the 5 benchmarks where at least ten models are scored, claude-2.1 is in the top 10% on 0 and in the top half on 0.

claude-2.1 benchmark results

claude-2.1 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Epoch ECI119#131 of 204Epoch AI Benchmarking Hub2026-10-13
DTBench51.0%#127 of 146Epoch AI Benchmarking Hub2026-10-13
GPQA Diamond33.0%#241 of 275Epoch AI Benchmarking Hub2026-10-13
OTIS Mock AIME1.9%#173 of 189Epoch AI Benchmarking Hub2026-10-13
WeirdML7.1%#106 of 109Epoch AI Benchmarking Hub2026-10-13

About claude-2.1

claude-2.1 is a frontier model from Anthropic. It was released on 2023-11-21, according to the developer's announcement. No API price is listed for it yet. We hold 5 benchmark results for it across 3 areas, and none is in the top tenth of its board.

Where claude-2.1 stands

On our aggregate score, claude-2.1 is #732 of 743 ranked models, in the lower half. Its score is 40.6; the scale is centred on 50, so it sits 9.4 points below the typical model. That beats 1% of the ranked field. Among the 70 ranked Anthropic models it is #69. The next one up is Claude 3.5 Haiku (Oct 2024) at 41.3. The next one down is claude-3-haiku-20240307 at 39.9.

claude-2.1, benchmark by benchmark

claude-2.1 lands below the middle on Epoch ECI: 119, #131 of 204, with 64% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is Command R+ at 119. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so claude-2.1 is 8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

DTBench is a weak spot. claude-2.1 scores 51.0%, #127 of 146, behind 86% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so claude-2.1 is 17.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

GPQA Diamond is a weak spot. claude-2.1 scores 33.0%, #241 of 275, behind 87% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so claude-2.1 is 38.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

OTIS Mock AIME is a weak spot. claude-2.1 scores 1.9%, #173 of 189, behind 91% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so claude-2.1 is 55.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

WeirdML is a weak spot. claude-2.1 scores 7.1%, #106 of 109, behind 96% of the models measured. The leader, GPT-6 Astra (max), reaches 93.3%. It covers unusual machine-learning tasks. The board median is 41.2%, so claude-2.1 is 34.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: weak, ahead of 10% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#241 of 275) and its weakest is OTIS Mock AIME (#173 of 189). General knowledge and chat: weak, ahead of 19% of the field on average across 2 benchmarks. Its best board here is Epoch ECI (#131 of 204) and its weakest is WeirdML (#106 of 109).

Release history

The Anthropic model released before it was claude-instant-1.2 on 2023-08-09, which scores 45.8. The next one was Claude 3 Opus on 2024-03-04, at 45.7.

Reading these numbers

The 5 scores on this page come from 1 source: Epoch AI Benchmarking Hub (5). No official leaderboard supplied any of them, so treat them as third-party measurements. With 5 results the aggregate rank can move a lot when one new score arrives.

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