aiticker

Anthropic · Released Sep 22, 2026

Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

ReasoningVision
  • #1SciCode
  • #1OTIS Mock AIME
  • #1WebDev Arena
  • #1ARC-AGI-1
Compare in showdown → OpenRouter ↗ All Anthropic models
Released
Sep 22 2026
Context window
1M 128K out
Input / 1M tokens
$4.00
Output / 1M tokens
$20.00

Where to run it

38 providers compared

Included in GitLab Duo. Cheapest: Amazon Bedrock, Azure, Google +30 more at $4.00 / $20.00 per 1M input / output tokens — 50% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
GitLab Duosubscription plan Plan Plan Plan1M128K— Plan
Amazon Bedrock $4.00 $20.00 $0.201M128K100%24h Cheapest
Azureglobal $4.00 $20.00 $0.201M128K100%24h Cheapest
Googleglobal $4.00 $20.00 $0.201M128K100%24h Cheapest
Claude Platform on AWS $4.00 $20.00 $0.201M128K100%24h Cheapest
Anthropic $4.00 $20.00 $0.201M128K100%24h Cheapest
NanoGPT $4.00 $20.00 $0.201M128K— Cheapest
Cloudflare AI Gateway $4.00 $20.00 $0.201M128K— Cheapest
Venice AI $4.00 $20.00 $0.201M128K— Cheapest
Boundless $4.00 $20.00 $0.201M128K— Cheapest
Kilo Gateway $4.00 $20.00 $0.201M128K— Cheapest
LLM Gateway $4.00 $20.00 $0.201M128K— Cheapest
AIHubMix $4.00 $20.00 $0.201M128K— Cheapest
302.AI $4.00 $20.00 $0.201M128K— Cheapest
DigitalOcean $4.00 $20.00 $0.201M128K— Cheapest
ZenMux $4.00 $20.00 $0.201M128K— Cheapest
GitHub Copilot $4.00 $20.00 $0.201M128K— Cheapest
Perplexity Agent $4.00 $20.00 $0.201M128K— Cheapest
Vertex $4.00 $20.00 $0.201M128K— Cheapest
Aixy $4.00 $20.00 $0.201M128K— Cheapest
Prime Inference $4.00 $20.00 —1M128K— Cheapest
Neon $4.00 $20.00 $0.201M128K— Cheapest
Azure Cognitive Services $4.00 $20.00 $0.201M128K— Cheapest
Vivgrid $4.00 $20.00 $0.201M128K— Cheapest
CrossModel $4.00 $20.00 $0.201M128K— Cheapest
DevPass (LLM Gateway) $4.00 $20.00 $0.201M128K— Cheapest
CommandCode $4.00 $20.00 $0.201M128K— Cheapest
Merge Gateway $4.00 $20.00 $0.201M128K— Cheapest
Ofox $4.00 $20.00 $0.201M128K— Cheapest
OpenCode $4.00 $20.00 $0.201M128K— Cheapest
NEAR AI Cloud $4.00 $20.00 $0.201M128K— Cheapest
Vertex (Anthropic) $4.00 $20.00 $0.201M128K— Cheapest
Eden AI $4.00 $20.00 $0.201M128K— Cheapest
Standard Compute $4.00 $20.00 $0.201M50K— Cheapest
Cortecs $4.40 $22.00 $0.221M128K— +10%
Amazon Bedrockeu-west-1 $4.40 $22.00 $0.221M128K100%24h +10%
Amazon Bedrockus-east-1 $4.40 $22.00 $0.221M128K100%24h +10%
Googleus $4.40 $22.00 $0.221M128K100%24h +10%
Googleeurope $4.40 $22.00 $0.221M128K100%24h +10%
Azureus $4.40 $22.00 $0.221M128K— +10%
Requesty $4.40 $22.00 $0.221M128K— +10%
AI/ML API $5.20 $26.00 $0.261M128K— +30%
Anthropicfast $8.00 $40.00 $0.401M128K100%24h +100%
Vercel AI Gateway $8.00 $40.00 $0.401M128K— +100%

Value

Price vs. performance

30 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 (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 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 5.5 (Anthropic) — 90.6% · $4.00/1M in Claude Opus 5.5

Claude Opus 5.5 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

24 benchmark scores

BenchmarkScoreRankLeader
FrontierSWESoftware engineering · Ultra-long-horizon engineering tasks with a 20-hour budget each 62.3% #2of 19 GPT-6 Astra65.5%
CursorBenchSoftware engineering · Ambiguous multi-file tasks drawn from real Cursor sessions 57.8% #1of 16 This model
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 54.6% #1of 41 This model
MirrorCodeSoftware engineering · Reimplement whole programs end-to-end without the source 77.4% #1of 10 This model
SciCodeSoftware engineering · Research-coding problems from the natural sciences 66.9% #1of 102 This model
WeirdML v3Software engineering · Unfamiliar ML and data tasks with vague goals 31.2% #3of 22 GPT-6 Astra42.2%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 73.5% #3of 51 Gemini 4 Argon82.4%
Remote Labor IndexAgents & computer use · Real paid freelance projects done end-to-end 21.3% #1of 13 This model
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $9,235 #9of 61 GPT-6 Astra$15,515
GDP.pdfWriting & content · Answer questions about real professional PDFs 30.6% #5of 38 GPT-6.1 Sol35.0%
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 72.2% #5of 79 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1820 #1of 90 This model
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 51.2% #2of 32 Gemini 4 Argon54.4%
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 83.3% #1of 34 This model
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 90.6% #36of 122 Gemini 4 Argon96.4%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 93.3% #3of 75 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 98.5% #1of 75 Gemini 4 Argon98.5%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 31.7% #2of 111 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 67.0% #4of 83 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 68.2% #2of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 91.2% #3of 87 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 95.0% #3of 64 GPT-6.1 Sol100.0%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 100.0% #1of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 100.0% #1of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
anthropic/claude-opus-5.5
Developer
Anthropic
Release date
Sep 22, 2026 ·
Context window
1,000,000 tokens
Max output
128,000 tokens
API price
$4.00 / $20.00 per 1M input / output tokens
Providers
38
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.