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Anthropic · API-only (closed weights)

Claude Sonnet 5

Claude Sonnet 5 is an API-only (closed weights) language model from Anthropic, released June 30, 2026. The context window is 1M tokens. On the Epoch Capabilities Index it scores 156.9, rank 33 of 256 rated models. API price: $2 input / $10 output per million tokens.

Claude Sonnet 5 is built to be the most agentic Sonnet model yet. It can make plans, use tools like browsers and terminals, and run autonomously at a level that, just a few months ago, required larger and more expensive models.

Check it against your own PC →

Lab
Anthropic
Released
June 30, 2026
Weights
API-only (closed weights)
Parameters
–
Context
1M
Price / M tokens
$2 / $10 in / out
Epoch ECI
156.9 #33

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning22.8Chess Puzzles, SimpleBench, Mystery Game Puzzles
Math58.4ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Coding62.9GSO-Bench, MirrorCode, DeepSWE
Knowledge71.1GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME94.7%
GPQA Diamond91.0%
ProofBench77.0%
FrontierMath (Tiers 1–3)69.1%
MirrorCode63.3%
DeepSWE53.8%
SimpleBench52.7%
Chess Puzzles42.1%
GSO-Bench37.3%
SimpleQA Verified33.7%
FrontierMath-Tier-4-v2-Private29.3%
Mystery Game Puzzles28.4%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

GPT-5.6 Terra · Claude Haiku 5.5 · GPT-5.4 Pro · GPT-5.5 · Claude Opus 4.8 · DeepSeek V4.1 Flash 1017 · Gemini 3.8 Flash · Kimi K3

More from Anthropic

Claude Fable 5.2 · Claude Haiku 5.5 · Claude Sonnet 5.5 · Claude Opus 5.5 · Claude Fable 5.1 · Claude Opus 5 · Claude Fable 5 · Claude Mythos 5

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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