aiticker

Anthropic · Released Jun 30, 2026

Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

ReasoningVision
  • Top 19%ProofBench
  • Top 21%LMCA
  • Top 22%GBAEval
  • Top 30%SciCode
Compare in showdown → OpenRouter ↗ All Anthropic models
Released
Jun 30 2026
Context window
1M 128K out
Input / 1M tokens
$2.00 from Free
Output / 1M tokens
$10.00 from Free

Where to run it

45 providers compared

Free to try on ZenMux — free endpoints are often limited-time and rate-limited. Included in GitLab Duo. Cheapest: Kenari at $1.43 / $7.14 per 1M input / output tokens — 45% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
ZenMuxfree · may be limited-time Free Free Free1M128K— Free
GitLab Duosubscription plan Plan Plan Plan1M64K— Plan
Kenari $1.43 $7.14 $0.571M128K— Cheapest
UnoRouter $1.44 $7.20 —1M128K— +1%
Claude Platform on AWS $2.00 $10.00 $0.201M128K100%24h +40%
Azureglobal $2.00 $10.00 $0.201M128K100%24h +40%
Googleglobal $2.00 $10.00 $0.201M128K100%24h +40%
Amazon Bedrockglobal $2.00 $10.00 $0.201M128K100%24h +40%
Anthropic $2.00 $10.00 $0.201M128K100%24h +40%
NanoGPT $2.00 $10.00 $0.201M128K— +40%
Cloudflare AI Gateway $2.00 $10.00 $0.201M128K— +40%
Venice AI $2.00 $10.00 $0.201M64K— +40%
Snowflake Cortex $2.00 $10.00 $0.201M64K— +40%
Kilo Gateway $2.00 $10.00 $0.201M128K— +40%
Vercel AI Gateway $2.00 $10.00 $0.201M128K— +40%
LLM Gateway $2.00 $10.00 $0.201M128K— +40%
Pioneer $2.00 $10.00 $0.201M128K— +40%
AIHubMix $2.00 $10.00 $0.201M128K— +40%
302.AI $2.00 $10.00 $0.201M128K— +40%
DigitalOcean $2.00 $10.00 $0.201M128K— +40%
ZenMux $2.00 $10.00 $0.201M64K— +40%
GitHub Copilot $2.00 $10.00 $0.201M128K— +40%
Perplexity Agent $2.00 $10.00 $0.201M128K— +40%
Vertex $2.00 $10.00 $0.201M128K— +40%
Prime Inference $2.00 $10.00 —1M128K— +40%
Neon $2.00 $10.00 $0.201M128K— +40%
Azure Cognitive Services $2.00 $10.00 $0.201M128K— +40%
Vivgrid $2.00 $10.00 $0.201M128K— +40%
Abacus $2.00 $10.00 —1M64K— +40%
CrossModel $2.00 $10.00 $0.201M128K— +40%
Tempr Gateway $2.00 $10.00 $0.201M128K— +40%
DevPass (LLM Gateway)no tool calling $2.00 $10.00 $0.201M1M— +40%
CommandCode $2.00 $10.00 $0.201M128K— +40%
Merge Gateway $2.00 $10.00 $0.201M128K— +40%
Ofox $2.00 $10.00 $0.201M128K— +40%
Impossibl $2.00 $10.00 $0.201M128K— +40%
OrcaRouter $2.00 $10.00 $0.201M128K— +40%
OpenCode $2.00 $10.00 $0.201M128K— +40%
NEAR AI Cloud $2.00 $10.00 $0.201M128K— +40%
Vertex (Anthropic) $2.00 $10.00 $0.201M128K— +40%
Eden AI $2.00 $10.00 $0.201M128K— +40%
Standard Compute $2.00 $10.00 $0.201M50K— +40%
Amazon Bedrockeu-west-1 $2.20 $11.00 $0.221M128K100%24h +54%
Azureus $2.20 $11.00 $0.221M128K100%24h +54%
Googleus $2.20 $11.00 $0.221M128K100%24h +54%
Googleeurope $2.20 $11.00 $0.221M128K100%24h +54%
Amazon Bedrockus-east-1 $2.20 $11.00 $0.221M128K100%24h +54%
Cortecs $2.20 $11.00 $0.221M128K— +54%
Requesty $2.20 $11.00 $0.221M128K— +54%
Opper $2.20 $11.00 $0.221M64K— +54%
AI/ML API $2.60 $13.00 $0.261M128K— +82%

Value

Price vs. performance

28 models score higher for the same price or lesson GPQA Diamond, e.g. Gemini 4 Argon.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.044/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.44/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in Claude Sonnet 5

Claude Sonnet 5 Other Anthropic Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

20 benchmark scores

BenchmarkScoreRankLeader
DeepSWESoftware engineering · Original long-horizon tasks across active open-source repos 53.8% #17of 26 GPT-6 Astra74.1%
CursorBenchSoftware engineering · Ambiguous multi-file tasks drawn from real Cursor sessions 34.1% #16of 16 Claude Opus 5.557.8%
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 42.7% #20of 41 Claude Opus 5.554.6%
GBAEvalSoftware engineering · Build a Game Boy Advance emulator from scratch 65.3% #5of 23 Claude Opus 579.6%
GSOSoftware engineering · Optimize real code to make it significantly faster 37.3% #9of 27 Claude Fable 5.188.2%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 54.3% #30of 102 Claude Opus 5.566.9%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 54.5% #20of 51 Gemini 4 Argon82.4%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $6,378 #18of 61 GPT-6 Astra$15,515
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 33.7% #53of 79 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1537 #37of 90 Claude Opus 5.51820
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 24.9% #23of 32 Gemini 4 Argon54.4%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 90.5% #37of 122 Gemini 4 Argon96.4%
SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people 60.6% #22of 58 Claude Fable 581.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 16.9% #34of 111 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 45.0% #28of 83 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 50.0% #25of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 65.6% #33of 87 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 29.3% #31of 64 GPT-6.1 Sol100.0%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 77.0% #13of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 94.7% #38of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
anthropic/claude-sonnet-5
Developer
Anthropic
Release date
Jun 30, 2026 ·
Context window
1,000,000 tokens
Max output
128,000 tokens
API price
$2.00 / $10.00 per 1M input / output tokens
Providers
45
Input types
text, image, file
Reasoning
Yes
Tool calling
Yes
Open weights
No
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.