Claude Sonnet 3.7: Price, Context, Benchmarks, and Release Details
48.9
SI Score (method si-v3-retained-evidence-2)
#109 of 140 ranked
100% confidence 100 percent, Full confidence — 6 of 9 expected sources in
Coverage 80% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 60.7
Math (weight 15 percent) 70.9
Preference (weight 15 percent) 62.2
Reasoning (weight 30 percent) 14.4
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- not yet reported
- Output price / 1M
- not yet reported
- 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
- Feb 19, 2025models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - 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 ↗
Benchmark results
31 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| aider polyglot | 60.4%Aider polyglotPublished source fact [variant] Aider polyglot; 225 cases; 2 attemptsPublished Feb 24, 2025
Retrieved Oct 9, 2026 · Apache-2.0 Open source ↗ | 60.4 | coding |
| arc agi v1 semi private | 13.6%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 3.7Published Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 13.6 | reasoning |
| arc agi v1 semi private | 28.6%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 3.7 Thinking 16KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 28.6 | reasoning |
| arc agi v1 semi private | 11.6%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 3.7 Thinking 1KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 11.6 | reasoning |
| arc agi v1 semi private | 21.2%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 3.7 Thinking 8KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 21.2 | reasoning |
| arc agi v2 public eval | 0%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 3.7Published Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.0 | reasoning |
| arc agi v2 public eval | 0.8%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 3.7 Thinking 16KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.8 | reasoning |
| arc agi v2 public eval | 0.8%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 3.7 Thinking 1KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.8 | reasoning |
| arc agi v2 public eval | 0%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 3.7 Thinking 8KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.0 | reasoning |
| arc agi v2 semi private | 0%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 3.7Published Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.0 | reasoning |
| arc agi v2 semi private | 0.7%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 3.7 Thinking 16KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.7 | reasoning |
| arc agi v2 semi private | 0.4%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 3.7 Thinking 1KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.4 | reasoning |
| arc agi v2 semi private | 0.9%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 3.7 Thinking 8KPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.9 | reasoning |
| gpqa diamond | 66.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Feb 24, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 66.0 | reasoning |
| gpqa diamond | 76.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Feb 26, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 76.8 | reasoning |
| gpqa diamond | 76.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Mar 10, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 76.8 | reasoning |
| gpqa diamond | 78.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 64KPublished May 26, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 78.5 | reasoning |
| hle scale | 8.0%Humanity’s Last ExamThinking budget: 16,000 tokens. Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. [variant] Published Apr 10, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 8.0 | reasoning |
| lmarena text | 1299.5 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0 Open source ↗ | 62.2 | preference |
| math level 5 | 68.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Feb 24, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 68.2 | math |
| math level 5 | 86.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Feb 26, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 86.3 | math |
| math level 5 | 90.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Mar 12, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 90.0 | math |
| math level 5 | 91.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 64KPublished Mar 13, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 91.2 | math |
| otis mock aime 2024 2025 | 21.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Feb 25, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 21.9 | math |
| otis mock aime 2024 2025 | 46.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Feb 26, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 46.7 | math |
| otis mock aime 2024 2025 | 53.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Mar 12, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 53.3 | math |
| otis mock aime 2024 2025 | 57.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 64KPublished Mar 13, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 57.8 | math |
| swe bench verified | 61.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Feb 4, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 61.0 | coding |
| swe bench verified | 66.4%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] Aime-coder v1Published May 14, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 66.4 | coding |
| swe bench verified | 52.8%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] mini-SWE-agent; 0.0.0Published Jul 20, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 52.8 | coding |
| swe bench verified | 63.2%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] ToolsPublished Feb 24, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 63.2 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (6)
- Aider polyglot · arrived Oct 8, 2026
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- Humanity’s Last Exam · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- SWE-bench Verified · arrived Oct 8, 2026
pending Awaiting (3)
- Official model cards via models.dev · carries 4% of expected weight
- LiveBench · carries 11% of expected weight
- Terminal-Bench · carries 5% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.