Anthropic · Released Apr 16, 2026

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

ReasoningVision
  • #1SWE-bench Verified
  • Top 8%Terminal-Bench
  • Top 10%Vending-Bench 2
  • Top 18%LMCA
Released
Apr 16 2026
Context window
1M 128K out
Input / 1M tokens
$5.00 from $4.29
Output / 1M tokens
$25.00 from $21.46

Where to run it

50 providers compared

Included in GitLab Duo. Cheapest: Poe at $4.29 / $21.46 per 1M input / output tokens — 38% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
GitLab Duosubscription plan Plan Plan Plan1M128K— Plan
Poe $4.29 $21.46 $0.431M128K— Cheapest
GMI Cloud $4.50 $22.50 $0.45410K128K— +5%
Claude Platform on AWS $5.00 $25.00 $0.501M128K100%24h +16%
Googleglobal $5.00 $25.00 $0.501M128K100%24h +16%
Amazon Bedrockglobal $5.00 $25.00 $0.501M128K100%24h +16%
Anthropic $5.00 $25.00 $0.501M128K100%24h +16%
Azureglobal $5.00 $25.00 $0.501M128K— +16%
NanoGPT $5.00 $25.00 $0.501M128K— +16%
FrogBot $5.00 $25.00 $0.50200K128K— +16%
Cloudflare AI Gateway $5.00 $25.00 $0.501M128K— +16%
Venice AI $5.00 $25.00 $0.501M128K— +16%
Snowflake Cortex $5.00 $25.00 $0.501M128K— +16%
Kilo Gateway $5.00 $25.00 $0.501M128K— +16%
Vercel AI Gateway $5.00 $25.00 $0.501M128K— +16%
LLM Gateway $5.00 $25.00 $0.501M128K— +16%
HPC-AI $5.00 $25.00 $0.501M128K— +16%
FreeModel $5.00 $25.00 $0.501M128K— +16%
Databricks $5.00 $25.00 $0.501M128K— +16%
Pioneer $5.00 $25.00 $0.501M128K— +16%
Requesty $5.00 $25.00 $0.501M128K— +16%
SAP AI Core $5.00 $25.00 $0.501M128K— +16%
AIHubMix $5.00 $25.00 $0.501M128K— +16%
302.AI $5.00 $25.00 $0.501M128K— +16%
DigitalOcean $5.00 $25.00 $0.50200K8K— +16%
ZenMux $5.00 $25.00 $0.501M128K— +16%
GitHub Copilot $5.00 $25.00 $0.50200K32K— +16%
Auriko $5.00 $25.00 $0.501M128K— +16%
Perplexity Agent $5.00 $25.00 $0.501M128K— +16%
Vertex $5.00 $25.00 $0.501M128K— +16%
Prime Inference $5.00 $25.00 —1M128K— +16%
Neon $5.00 $25.00 $0.501M128K— +16%
Azure Cognitive Services $5.00 $25.00 $0.501M128K— +16%
Abacus $5.00 $25.00 —1M128K— +16%
CrossModel $5.00 $25.00 $0.501M128K— +16%
Tempr Gateway $5.00 $25.00 $0.501M128K— +16%
DevPass (LLM Gateway) $5.00 $25.00 $0.501M128K— +16%
CommandCode $5.00 $25.00 $0.501M128K— +16%
Merge Gateway $5.00 $25.00 $0.501M128K— +16%
Ofox $5.00 $25.00 $0.501M128K— +16%
Impossibl $5.00 $25.00 $0.501M128K— +16%
OrcaRouter $5.00 $25.00 $0.501M128K— +16%
OpenCode $5.00 $25.00 $0.501M128K— +16%
NEAR AI Cloud $5.00 $25.00 $0.501M128K— +16%
Vertex (Anthropic) $5.00 $25.00 $0.501M128K— +16%
Eden AI $5.00 $25.00 $0.501M128K— +16%
Cortecs $5.44 $27.19 $0.541M128K— +27%
Googleus $5.50 $27.50 $0.551M128K— +28%
Amazon Bedrockeu-west-1 $5.50 $27.50 $0.551M128K— +28%
Googleeurope $5.50 $27.50 $0.551M128K— +28%
Opper $5.50 $27.50 $0.551M64K— +28%
Kenari $5.71 $29.71 $0.571M128K— +36%
AI/ML API $6.88 $34.38 $0.691M128K— +60%

Value

Price vs. performance

37 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 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 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 4.7 (Anthropic) — 90.1% · $5.00/1M in Claude Opus 4.7

Claude Opus 4.7 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

29 benchmark scores

BenchmarkScoreRankLeader
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 38.5% #28of 41 Claude Opus 5.554.6%
SWE-bench VerifiedSoftware engineering · Real GitHub issues fixed in Python repos 83.5% #1of 32 This model
Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) 80.2% #3of 40 GPT-5.584.7%
MirrorCodeSoftware engineering · Reimplement whole programs end-to-end without the source 31.1% #6of 10 Claude Opus 5.577.4%
GBAEvalSoftware engineering · Build a Game Boy Advance emulator from scratch 43.8% #12of 23 Claude Opus 579.6%
GSOSoftware engineering · Optimize real code to make it significantly faster 44.1% #6of 27 Claude Fable 5.188.2%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 54.5% #29of 102 Claude Opus 5.566.9%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 49.2% #26of 51 Gemini 4 Argon82.4%
OSWorld 2.0Agents & computer use · Long real-world desktop and web tasks 18.2% #4of 9 Claude Opus 531.4%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $10,937 #6of 61 GPT-6 Astra$15,515
PostTrainBenchAgents & computer use · Post-train small models under a fixed compute budget 28.6% #7of 11 Claude Fable 541.8%
GDP.pdfWriting & content · Answer questions about real professional PDFs 21.0% #21of 38 GPT-6.1 Sol35.0%
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 51.7% #24of 79 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1567 #31of 90 Claude Opus 5.51820
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 24.5% #24of 32 Gemini 4 Argon54.4%
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 33.3% #23of 34 Claude Opus 5.583.3%
ExploitBenchCybersecurity · Exploit real, hardened security vulnerabilities 26.5% #2of 8 GPT-5.547.4%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 90.1% #40of 122 Gemini 4 Argon96.4%
Humanity's Last ExamReasoning & knowledge · Expert questions across 100+ subjects 36.2% #8of 32 GPT-6 Astra54.8%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 75.8% #17of 75 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 93.5% #22of 75 Gemini 4 Argon98.5%
SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people 61.7% #16of 58 Claude Fable 581.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 12.0% #46of 111 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 41.0% #35of 83 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 52.2% #21of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 70.2% #27of 87 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 31.7% #28of 64 GPT-6.1 Sol100.0%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 54.0% #27of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 97.8% #26of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
anthropic/claude-opus-4.7
Developer
Anthropic
Release date
Apr 16, 2026 ·
Context window
1,000,000 tokens
Max output
128,000 tokens
API price
$5.00 / $25.00 per 1M input / output tokens
Providers
50
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.