claude-opus-4-5-20251101-thinking-64k-high-effort: benchmark scores, price and ranking

claude-opus-4-5-20251101-thinking-64k-high-effort from Anthropic ranks #198 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.3), based on 7 benchmark results captured up to 2026-10-13.

Organisation
Anthropic
Type
Frontier model
Open weights
No
Released
2025-11-24 (source: curated)
Cheapest API price
$5.00 in / $25.00 out per million tokens (via anthropic, observed 2026-10-13T20:47Z)
Aggregate rank
#198 of 743 (score 50.3)

Relative to other models, claude-opus-4-5-20251101-thinking-64k-high-effort is strongest on LiveBench Coding (#3 of 17) and weakest on LiveBench Agentic Coding (#16 of 17).

Across the 7 benchmarks where at least ten models are scored, claude-opus-4-5-20251101-thinking-64k-high-effort is in the top 10% on 0 and in the top half on 4.

Its cheapest listed input price, $5.00 per million tokens, is lower than that of 7% of the 427 models with a listed price.

claude-opus-4-5-20251101-thinking-64k-high-effort benchmark results

claude-opus-4-5-20251101-thinking-64k-high-effort benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
LiveBench Coding79.7%#3 of 17LiveBench 2026_06_25 official CSV2026-10-13
LiveBench Language81.3%#6 of 17LiveBench 2026_06_25 official CSV2026-10-13
LiveBench Mathematics90.4%#7 of 17LiveBench 2026_06_25 official CSV2026-10-13
LiveBench Data Analysis74.4%#8 of 17LiveBench 2026_06_25 official CSV2026-10-13
LiveBench Reasoning80.1%#10 of 17LiveBench 2026_06_25 official CSV2026-10-13
LiveBench IF62.5%#11 of 17LiveBench 2026_06_25 official CSV2026-10-13
LiveBench Agentic Coding39.7%#16 of 17LiveBench 2026_06_25 official CSV2026-10-13

About claude-opus-4-5-20251101-thinking-64k-high-effort

claude-opus-4-5-20251101-thinking-64k-high-effort is a frontier model from Anthropic. It was released on 2025-11-24, according to the developer's announcement. The cheapest API listing we track charges $5.00 per million input tokens and $25.00 per million output tokens, through anthropic. We hold 7 benchmark results for it across 3 areas, and none is in the top tenth of its board.

Where claude-opus-4-5-20251101-thinking-64k-high-effort stands

On our aggregate score, claude-opus-4-5-20251101-thinking-64k-high-effort is #198 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. Among the 70 ranked Anthropic models it is #34. The next one up is Claude 4.5 Haiku at 50.3. The next one down is CodeAct v1.8 at 50.3.

claude-opus-4-5-20251101-thinking-64k-high-effort, benchmark by benchmark

LiveBench Coding puts claude-opus-4-5-20251101-thinking-64k-high-effort at 79.7%, #3 of 17. That beats 82% of the models tested, but 4.0 points short of GPT-5.2 Codex (83.6%). The results either side are GPT-5.5 (xhigh) (82.1%) and claude-opus-4-8-xhigh-effort (79.3%). It covers LiveBench release 2026_06_25. The board median is 76.5%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 3.2 points above it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

On LiveBench Language, claude-opus-4-5-20251101-thinking-64k-high-effort reaches 81.3%. It ranks #6 of 17, ahead of 65% of the field, and 6.1 points behind GPT-5.5 (xhigh) at 87.4%. The results either side are claude-opus-4-8-xhigh-effort (81.4%) and gpt-5.2-2025-12-11-high (79.8%). It covers LiveBench release 2026_06_25. The board median is 77.9%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 3.4 points above it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

claude-opus-4-5-20251101-thinking-64k-high-effort manages 90.4% on LiveBench Mathematics, good for #7 of 17. GPT-5.5 (xhigh) leads at 95.9%, 5.5 points further up, and 59% of models sit below. The results either side are GPT-5.4 nano (xhigh) (91.0%) and GPT-5.2 Codex (88.8%). It covers LiveBench release 2026_06_25. The board median is 88.2%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 2.1 points above it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

LiveBench Data Analysis puts claude-opus-4-5-20251101-thinking-64k-high-effort at 74.4%, #8 of 17. That beats 53% of the models tested, but 7.1 points short of GPT-5.5 (xhigh) (81.6%). The results either side are MiniMax-M3 (76.2%) and Qwen3.7 Max (71.8%). It covers LiveBench release 2026_06_25. The board median is 71.8%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 2.7 points above it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

claude-opus-4-5-20251101-thinking-64k-high-effort lands below the middle on LiveBench Reasoning: 80.1%, #10 of 17, with 53% of the field scoring higher. claude-opus-4-8-xhigh-effort leads at 89.7%; the closest result above is GPT-5.4 nano (xhigh) at 81.1%. It covers LiveBench release 2026_06_25. The board median is 81.1%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 1.0 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

claude-opus-4-5-20251101-thinking-64k-high-effort lands below the middle on LiveBench IF: 62.5%, #11 of 17, with 59% of the field scoring higher. gemini-3.1-pro-preview-high leads at 79.1%; the closest result above is kimi-k2.6-thinking at 64.4%. It covers LiveBench release 2026_06_25. The board median is 65.2%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 2.7 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

LiveBench Agentic Coding is a weak spot. claude-opus-4-5-20251101-thinking-64k-high-effort scores 39.7%, #16 of 17, behind 88% of the models measured. The leader, claude-opus-4-8-xhigh-effort, reaches 56.1%. It covers LiveBench release 2026_06_25. The board median is 45.8%, so claude-opus-4-5-20251101-thinking-64k-high-effort is 6.1 points below it. Source: LiveBench 2026_06_25 official CSV, captured 2026-10-13.

Strengths and weaknesses

Software engineering: uneven, ahead of 44% of the field on average across 2 benchmarks. Its best board here is LiveBench Coding (#3 of 17) and its weakest is LiveBench Agentic Coding (#16 of 17). Reasoning, maths and science: solid, ahead of 50% of the field on average across 2 benchmarks. Its best board here is LiveBench Mathematics (#7 of 17) and its weakest is LiveBench Reasoning (#10 of 17). General knowledge and chat: solid, ahead of 51% of the field on average across 3 benchmarks. Its best board here is LiveBench Language (#6 of 17) and its weakest is LiveBench IF (#11 of 17).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so claude-opus-4-5-20251101-thinking-64k-high-effort 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-4-1106-preview ($10.00) and gpt-4-0125-preview ($10.00).

Release history

The Anthropic model released before it was claude-opus-4-5-20251101-high-32k on 2025-11-24, which scores 48.9. The next one was Claude 4.6 Opus on 2026-02-05, at 52.6.

Reading these numbers

The 7 scores on this page come from 1 source: LiveBench 2026_06_25 official CSV (7). 7 of them come from an official leaderboard and 0 from datasets or third-party runs. The leaderboard also lists 1 other reasoning-effort setting of this model, which redirect here. This page shows the highest. With 7 results the aggregate rank can move a lot when one new score arrives.

claude-opus-4-5-20251101-thinking-64k-high-effort 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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