Anthropic · Released Jul 24, 2026

Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

ReasoningVision
  • Top 4%SimpleBench
  • Top 4%LMCA
  • #1GBAEval
  • Top 6%ProofBench
Released
Jul 24 2026
Context window
1M 128K out
Input / 1M tokens
$5.00
Output / 1M tokens
$25.00

Where to run it

43 providers compared

Included in GitLab Duo. Cheapest: Claude Platform on AWS, Google, Amazon Bedrock +34 more at $5.00 / $25.00 per 1M input / output tokens — 50% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
GitLab Duosubscription plan Plan Plan Plan1M128K— Plan
Claude Platform on AWS $5.00 $25.00 $0.501M128K100%24h Cheapest
Googleglobal $5.00 $25.00 $0.501M128K100%24h Cheapest
Amazon Bedrock $5.00 $25.00 $0.501M128K100%24h Cheapest
Azureglobal $5.00 $25.00 $0.501M128K100%24h Cheapest
Anthropic $5.00 $25.00 $0.501M128K100%24h Cheapest
NanoGPT $5.00 $25.00 $0.501M128K— Cheapest
Cloudflare AI Gateway $5.00 $25.00 $0.501M128K— Cheapest
Venice AI $5.00 $25.00 $0.501M128K— Cheapest
Snowflake Cortex $5.00 $25.00 $0.501M128K— Cheapest
Boundless $5.00 $25.00 $0.50262K128K— Cheapest
Kilo Gateway $5.00 $25.00 $0.501M128K— Cheapest
Vercel AI Gateway $5.00 $25.00 $0.501M128K— Cheapest
LLM Gateway $5.00 $25.00 $0.501M128K— Cheapest
Pioneer $5.00 $25.00 $0.501M128K— Cheapest
AIHubMix $5.00 $25.00 $0.501M128K— Cheapest
302.AI $5.00 $25.00 $0.501M128K— Cheapest
DigitalOcean $5.00 $25.00 $0.501M128K— Cheapest
GitHub Copilot $5.00 $25.00 $0.501M64K— Cheapest
Perplexity Agent $5.00 $25.00 $0.501M128K— Cheapest
Vertex $5.00 $25.00 $0.501M128K— Cheapest
Prime Inference $5.00 $25.00 —1M128K— Cheapest
Neon $5.00 $25.00 $0.501M128K— Cheapest
Azure Cognitive Services $5.00 $25.00 $0.501M128K— Cheapest
Vivgrid $5.00 $25.00 $0.501M128K— Cheapest
Abacus $5.00 $25.00 —1M128K— Cheapest
CrossModel $5.00 $25.00 $0.501M128K— Cheapest
Tempr Gateway $5.00 $25.00 $0.501M128K— Cheapest
DevPass (LLM Gateway) $5.00 $25.00 $0.501M128K— Cheapest
CommandCode $5.00 $25.00 $0.501M128K— Cheapest
Merge Gateway $5.00 $25.00 $0.501M128K— Cheapest
Ofox $5.00 $25.00 $0.501M128K— Cheapest
OrcaRouter $5.00 $25.00 $0.501M128K— Cheapest
OpenCode $5.00 $25.00 $0.501M128K— Cheapest
NEAR AI Cloud $5.00 $25.00 $0.501M128K— Cheapest
Vertex (Anthropic) $5.00 $25.00 $0.501M128K— Cheapest
Eden AI $5.00 $25.00 $0.501M128K— Cheapest
Standard Compute $5.00 $25.00 $0.501M50K— Cheapest
Cortecs $5.50 $27.50 $0.551M128K— +10%
Amazon Bedrockeu-west-1 $5.50 $27.50 $0.551M128K100%24h +10%
Azureus $5.50 $27.50 $0.551M128K100%24h +10%
Googleus $5.50 $27.50 $0.551M128K100%24h +10%
Googleeurope $5.50 $27.50 $0.551M128K100%24h +10%
Amazon Bedrockus-east-1 $5.50 $27.50 $0.551M128K100%24h +10%
Requesty $5.50 $27.50 $0.551M128K— +10%
Opper $5.50 $27.50 $0.551M128K— +10%
Kenari $5.71 $28.57 $2.291M128K— +14%
AI/ML API $6.50 $32.50 $0.651M128K— +30%
Anthropicfast $10.00 $50.00 $1.001M128K100%24h +100%

Value

Price vs. performance

9 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 Sonnet 5 (Anthropic) — 90.5% · $2.00/1M 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 Opus 5 (Anthropic) — 93.9% · $5.00/1M in Claude Opus 5

Claude Opus 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

27 benchmark scores

BenchmarkScoreRankLeader
FrontierSWESoftware engineering · Ultra-long-horizon engineering tasks with a 20-hour budget each 52.0% #6of 19 GPT-6 Astra65.5%
DeepSWESoftware engineering · Original long-horizon tasks across active open-source repos 73.7% #3of 26 GPT-6 Astra74.1%
CursorBenchSoftware engineering · Ambiguous multi-file tasks drawn from real Cursor sessions 46.6% #6of 16 Claude Opus 5.557.8%
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 53.4% #3of 41 Claude Opus 5.554.6%
GBAEvalSoftware engineering · Build a Game Boy Advance emulator from scratch 79.6% #1of 23 This model
SciCodeSoftware engineering · Research-coding problems from the natural sciences 56.4% #22of 102 Claude Opus 5.566.9%
WeirdML v3Software engineering · Unfamiliar ML and data tasks with vague goals 19.0% #8of 22 GPT-6 Astra42.2%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 65.8% #6of 51 Gemini 4 Argon82.4%
OSWorld 2.0Agents & computer use · Long real-world desktop and web tasks 31.4% #1of 9 This model
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $11,182 #4of 61 GPT-6 Astra$15,515
PostTrainBenchAgents & computer use · Post-train small models under a fixed compute budget 35.0% #3of 11 Claude Fable 541.8%
GDP.pdfWriting & content · Answer questions about real professional PDFs 24.0% #13of 38 GPT-6.1 Sol35.0%
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 59.9% #17of 79 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1687 #7of 90 Claude Opus 5.51820
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 30.4% #18of 32 Gemini 4 Argon54.4%
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 60.8% #7of 34 Claude Opus 5.583.3%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 93.9% #12of 122 Gemini 4 Argon96.4%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 90.4% #6of 75 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 97.5% #8of 75 Gemini 4 Argon98.5%
SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people 80.6% #2of 58 Claude Fable 581.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 29.1% #11of 111 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 43.0% #31of 83 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 64.5% #4of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 85.6% #12of 87 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 73.2% #11of 64 GPT-6.1 Sol100.0%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 99.0% #4of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 98.9% #16of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
anthropic/claude-opus-5
Developer
Anthropic
Release date
Jul 24, 2026 ·
Context window
1,000,000 tokens
Max output
128,000 tokens
API price
$5.00 / $25.00 per 1M input / output tokens
Providers
43
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.