Anthropic, released Nov 1, 2025
Claude Opus 4.5price, context, benchmarks and release details
- Input, per 1M tokens
- $5.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.anthropic.com/en/docs/about-claude/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; anthropic/claude-opus-4-5-20251101
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Output, per 1M tokens
- $25.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.anthropic.com/en/docs/about-claude/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; anthropic/claude-opus-4-5-20251101
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Context window
- 200Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 64Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Nov 1, 2025models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How the score breaks down
Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.
Around it on the leaderboard
- 48 Qwen3.7 Plus 62.7
- 49 Qwen3.5 35B-A3B 62.7
- 50 Claude Opus 4.5 62.6
- 51 MiMo-V2.5-Pro 62.6
- 52 Muse Spark 1.2 62.3
Benchmark results
28 benchmarks, 46 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
ARC-AGI-1 (public eval)reasoning 86.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
86.6 4 settings
- Setting 1 81.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 86.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 70.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 4 52.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
ARC-AGI-1 (semi-private)reasoning 80%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
80.0 5 settings
- Setting 1 72%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 75.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 80%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 4 58.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 5 40%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
ARC-AGI-2 (public eval)reasoning 28.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
28.1 4 settings
- Setting 1 24.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 28.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 10.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 4 7.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
ARC-AGI-2 (semi-private)reasoning 37.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
37.6 4 settings
- Setting 1 22.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 37.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 13.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 4 7.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
GPQA Diamondreasoning 86.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
86.0 3 settings
- 16K thinking 85.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Nov 25, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗ - 32K thinking 86.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗ - Setting 3 80.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
Open source ↗ 14.2
Open source ↗ 99.3
Open source ↗ 79.4
Open source ↗ 68.0
Open source ↗ 96.0
Open source ↗ 78.8
Open source ↗ 77.5
Open source ↗ 4.9
Open source ↗ 34.4
Open source ↗ 99.0
Open source ↗ 95.1
Open source ↗ 78.0
Open source ↗ 89.5
Open source ↗ 55.0
OTIS Mock AIME 2024–2025math 86.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
86.1 3 settings
- 16K thinking 81.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗ - 32K thinking 86.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗ - Setting 3 48.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Nov 24, 2025
Retrieved Oct 9, 2026 · CC-BY
Open source ↗
Open source ↗ 80.4
Open source ↗ 78.9
Open source ↗ 59.1
Open source ↗ 40.0
Open source ↗ 20.0
SWE-bench Pro (public)coding 45.9%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] public
Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗
45.9 2 settings
- Setting 1 45.9%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] public
Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗ - Setting 2 23.4%SWE-bench Pro (public)Published steward score [variant] Published Jan 12, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
Open source ↗ 76.7
Open source ↗ 77.6
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, pdfmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 8, 2026
- Coverage
- 94% of expected source weight
Reported (7)
- ARC PrizeOct 8, 2026
- Epoch AI BenchmarkingOct 8, 2026
- Humanity’s Last ExamOct 8, 2026
- Official model cards via models.devOct 8, 2026
- LiveBenchOct 8, 2026
- LMArena / ArenaOct 8, 2026
- SWE-bench Pro (public)Oct 8, 2026
Awaiting (1)
- Terminal-Bench6% of weight
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.