FRENES

Anthropic · language model

Claude Opus 4.1: pricing, context and benchmarks

Claude Opus 4.1 is Anthropic's model released on August 5, 2025. It costs $15 per million input tokens and $75 per million output tokens, with a 200K-token context window. Epoch AI ranks it #88 of 125 rated models.

Score
26/100
Performance (ECI) 12/40
Price 1/30
Context 5/15
Features 8/15
High costReasoningTool calling

What you need to know about Claude Opus 4.1

Anthropic, based in United States, put Claude Opus 4.1 online on August 5, 2025. It accepts images, text, and files as input and produces text. Its context window reaches 200,000 tokens, larger than 36 % of the models in the registry, and it can write up to 32,000 tokens in one go.

It has been available for about 15 months, long enough for its prices and scores to have settled.

Claude Opus 4.1 pricing

On OpenRouter, Claude Opus 4.1 costs $15 per million input tokens and $75 per million output tokens. Counting three tokens read for every token written, its average price is $30 per million, more expensive than 98 % of paid models (39.3 times the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0675. At 1,000 tasks a day, budget $2,025 a month. The price calculator redoes this with your own volumes.

Tokens already sent and cached are billed at $1.5 per million. With batch processing (delayed answers), the price drops to $7.5 input and $37.5 output.

Performance and benchmarks

The Epoch Capabilities Index (ECI), which aggregates published results across many benchmarks, gives Claude Opus 4.1 a score of 144.1 (range 141.8 to 146.6). That places it #88 of 125 rated models.

Scores published by Epoch AI on the benchmarks the site tracks:

Source: Epoch AI, Benchmarking Hub (CC BY 4.0).
BenchmarkWhat it measuresScoreDate
GPQA DiamondPhD-level science questions77.3 %Aug 5, 2025
SWE-bench Verifiedfixing real GitHub issues73.4 %Aug 5, 2025
Terminal-Benchreal tasks in a terminal38 %Aug 5, 2025
FrontierMathresearch-level maths problems (tiers 1-3)12.6 %Aug 5, 2025
OTIS Mock AIMEmaths competition problems68.9 %Aug 5, 2025
GPQA DiamondGPQA Diamond : 77.3 %77.3 %SWE-bench VerifiedSWE-bench Verified : 73.4 %73.4 %Terminal-BenchTerminal-Bench : 38 %38 %FrontierMathFrontierMath : 12.6 %12.6 %OTIS Mock AIMEOTIS Mock AIME : 68.9 %68.9 %
Claude Opus 4.1 success rate by benchmark (Epoch AI).
116129142156169$0.1$1$10Average price ($ per million tokens, log scale)ECIClaude Opus 5.5 : Average price ($ per million tokens, log scale) $8, ECI 169GPT-6 Astra : Average price ($ per million tokens, log scale) $20, ECI 169GPT-6.1 Sol : Average price ($ per million tokens, log scale) $4, ECI 168Claude Fable 5.1 : Average price ($ per million tokens, log scale) $20, ECI 166Gemini 4 Argon : Average price ($ per million tokens, log scale) $4, ECI 166Claude Sonnet 5.5 : Average price ($ per million tokens, log scale) $4, ECI 166Claude Opus 5 : Average price ($ per million tokens, log scale) $10, ECI 164GPT-6 Sol : Average price ($ per million tokens, log scale) $4, ECI 164Claude Fable 5 : Average price ($ per million tokens, log scale) $20, ECI 163GPT-5.5 Pro : Average price ($ per million tokens, log scale) $68, ECI 163GPT-5.6 Sol : Average price ($ per million tokens, log scale) $8, ECI 163Muse Wonder : Average price ($ per million tokens, log scale) $8, ECI 162GPT-5.6 Terra : Average price ($ per million tokens, log scale) $5, ECI 160GPT-5.5 : Average price ($ per million tokens, log scale) $11, ECI 160GPT-5.4 Pro : Average price ($ per million tokens, log scale) $68, ECI 160Claude Haiku 5.5 : Average price ($ per million tokens, log scale) $0.2, ECI 159Claude Opus 4.8 : Average price ($ per million tokens, log scale) $10, ECI 159Gemini 3.7 Flash : Average price ($ per million tokens, log scale) $2, ECI 158Kimi K3 : Average price ($ per million tokens, log scale) $3, ECI 158Gemini 3.8 Flash : Average price ($ per million tokens, log scale) $2, ECI 157GPT-5.4 : Average price ($ per million tokens, log scale) $6, ECI 157Muse Spark 1.3 : Average price ($ per million tokens, log scale) $2, ECI 157GPT-5.3-Codex : Average price ($ per million tokens, log scale) $5, ECI 157Claude Sonnet 5 : Average price ($ per million tokens, log scale) $4, ECI 157Claude Opus 4.7 : Average price ($ per million tokens, log scale) $10, ECI 157GPT-6 Luna : Average price ($ per million tokens, log scale) $0.2, ECI 157Grok 4.6 : Average price ($ per million tokens, log scale) $3, ECI 157GPT-5.6 Luna : Average price ($ per million tokens, log scale) $0.5, ECI 157GPT-5.2 Pro : Average price ($ per million tokens, log scale) $58, ECI 156GLM 5.3 : Average price ($ per million tokens, log scale) $0.4, ECI 156DeepSeek V4.1 Flash 1017 : Average price ($ per million tokens, log scale) $0.3, ECI 156DeepSeek V4.1 Flash : Average price ($ per million tokens, log scale) $0.3, ECI 156Claude Opus 4.6 : Average price ($ per million tokens, log scale) $10, ECI 156DeepSeek V4 Pro 0813 : Average price ($ per million tokens, log scale) $1, ECI 156DeepSeek V4 Pro 0423 : Average price ($ per million tokens, log scale) $0.3, ECI 156Gemini 3.1 Pro Preview : Average price ($ per million tokens, log scale) $5, ECI 155Muse Spark Open : Average price ($ per million tokens, log scale) $2, ECI 155Qwen3.8 Max (0902) : Average price ($ per million tokens, log scale) $3, ECI 155Muse Spark 1.2 : Average price ($ per million tokens, log scale) $2, ECI 155Gemini 3.5 Flash : Average price ($ per million tokens, log scale) $3, ECI 155DeepSeek V4 Flash 0731 : Average price ($ per million tokens, log scale) $0.07, ECI 155DeepSeek V4 Flash 0423 : Average price ($ per million tokens, log scale) $0.1, ECI 155Gemini 3.6 Flash : Average price ($ per million tokens, log scale) $2, ECI 155Grok 4.7 : Average price ($ per million tokens, log scale) $3, ECI 154Grok 4.5 : Average price ($ per million tokens, log scale) $3, ECI 154Muse Spark 1.1 : Average price ($ per million tokens, log scale) $2, ECI 154Qwen3.7 Max : Average price ($ per million tokens, log scale) $2, ECI 154GPT-5.2 : Average price ($ per million tokens, log scale) $5, ECI 154GLM 5.3 Flash : Average price ($ per million tokens, log scale) $0.2, ECI 153Claude Sonnet 4.6 : Average price ($ per million tokens, log scale) $6, ECI 153Grok 4.20 : Average price ($ per million tokens, log scale) $2, ECI 152GLM 5.2 : Average price ($ per million tokens, log scale) $2, ECI 152Gemini 3 Flash Preview : Average price ($ per million tokens, log scale) $1, ECI 152Qwen3.8 27B : Average price ($ per million tokens, log scale) $0.8, ECI 152Kimi K2.6 : Average price ($ per million tokens, log scale) $1, ECI 151GPT-5 Pro : Average price ($ per million tokens, log scale) $41, ECI 151Inkling Small : Average price ($ per million tokens, log scale) $0.6, ECI 150Kimi K2.7 Code : Average price ($ per million tokens, log scale) $1, ECI 150Claude Opus 4.5 : Average price ($ per million tokens, log scale) $10, ECI 150Mistral Large 4 : Average price ($ per million tokens, log scale) $2, ECI 150GPT-5 : Average price ($ per million tokens, log scale) $3, ECI 150GLM 5.1 : Average price ($ per million tokens, log scale) $2, ECI 150GPT-5.1 : Average price ($ per million tokens, log scale) $3, ECI 150GPT-5.4 Mini : Average price ($ per million tokens, log scale) $2, ECI 149Inkling : Average price ($ per million tokens, log scale) $2, ECI 148Kimi K2.5 : Average price ($ per million tokens, log scale) $1, ECI 148o3 Pro : Average price ($ per million tokens, log scale) $35, ECI 147Qwen3.6 Plus : Average price ($ per million tokens, log scale) $0.7, ECI 147Qwen3.7 Plus : Average price ($ per million tokens, log scale) $0.6, ECI 147MiniMax M3 : Average price ($ per million tokens, log scale) $0.5, ECI 147Qwen3.5 397B A17B : Average price ($ per million tokens, log scale) $1, ECI 147Claude Sonnet 4.5 : Average price ($ per million tokens, log scale) $6, ECI 147o3 : Average price ($ per million tokens, log scale) $4, ECI 147MiniMax M2.5 : Average price ($ per million tokens, log scale) $0.5, ECI 147Qwen3.6 27B : Average price ($ per million tokens, log scale) $0.7, ECI 146DeepSeek V3.2 : Average price ($ per million tokens, log scale) $0.3, ECI 146GPT-5.4 Nano : Average price ($ per million tokens, log scale) $0.5, ECI 146Nemotron 3 Ultra : Average price ($ per million tokens, log scale) $1, ECI 146Kimi K2 Thinking : Average price ($ per million tokens, log scale) $1, ECI 146GLM 5 : Average price ($ per million tokens, log scale) $2, ECI 146MiniMax M2.7 : Average price ($ per million tokens, log scale) $0.5, ECI 146o4 Mini : Average price ($ per million tokens, log scale) $2, ECI 145GPT-5 Mini : Average price ($ per million tokens, log scale) $0.7, ECI 145Gemini 3.5 Flash Lite : Average price ($ per million tokens, log scale) $0.8, ECI 145DeepSeek V3.2 Exp : Average price ($ per million tokens, log scale) $0.3, ECI 145Gemini 3.1 Flash Lite : Average price ($ per million tokens, log scale) $0.6, ECI 144Gemini 3.1 Flash Lite Preview : Average price ($ per million tokens, log scale) $0.6, ECI 144Qwen3.7 Flash : Average price ($ per million tokens, log scale) $0.06, ECI 144Qwen3.6 35B A3B : Average price ($ per million tokens, log scale) $0.3, ECI 144GLM 4.7 : Average price ($ per million tokens, log scale) $0.9, ECI 144Gemma 4 31B : Average price ($ per million tokens, log scale) $0.3, ECI 143Qwen3.6 Flash : Average price ($ per million tokens, log scale) $0.4, ECI 143Qwen3.5-35B-A3B : Average price ($ per million tokens, log scale) $0.4, ECI 142Claude Haiku 4.5 : Average price ($ per million tokens, log scale) $2, ECI 142Gemma 4 26B A4B : Average price ($ per million tokens, log scale) $0.1, ECI 142o1 : Average price ($ per million tokens, log scale) $26, ECI 142Mistral Medium 3.5 : Average price ($ per million tokens, log scale) $3, ECI 141o3 Mini : Average price ($ per million tokens, log scale) $2, ECI 140DeepSeek V3.1 : Average price ($ per million tokens, log scale) $0.4, ECI 140gpt-oss-120b : Average price ($ per million tokens, log scale) $0.3, ECI 140Qwen3.5-9B : Average price ($ per million tokens, log scale) $0.2, ECI 139GPT-5 Nano : Average price ($ per million tokens, log scale) $0.1, ECI 139R1 0528 : Average price ($ per million tokens, log scale) $0.9, ECI 139Qwen3 32B : Average price ($ per million tokens, log scale) $0.1, ECI 138Qwen3 14B : Average price ($ per million tokens, log scale) $0.1, ECI 138gpt-oss-20b : Average price ($ per million tokens, log scale) $0.04, ECI 138GPT-4.1 : Average price ($ per million tokens, log scale) $4, ECI 137Qwen3 30B A3B : Average price ($ per million tokens, log scale) $0.2, ECI 136GPT-4.1 Mini : Average price ($ per million tokens, log scale) $0.7, ECI 135Mistral Medium 3 : Average price ($ per million tokens, log scale) $0.8, ECI 134DeepSeek V3 0324 : Average price ($ per million tokens, log scale) $0.5, ECI 132DeepSeek V3 : Average price ($ per million tokens, log scale) $0.5, ECI 132Llama 4 Maverick : Average price ($ per million tokens, log scale) $0.3, ECI 132Phi 4 : Average price ($ per million tokens, log scale) $0.09, ECI 130Gemma 3 27B : Average price ($ per million tokens, log scale) $0.1, ECI 130Llama 4 Scout : Average price ($ per million tokens, log scale) $0.1, ECI 130GPT-4.1 Nano : Average price ($ per million tokens, log scale) $0.2, ECI 130GPT-4o-mini : Average price ($ per million tokens, log scale) $0.3, ECI 126GPT-4o-mini (2024-07-18) : Average price ($ per million tokens, log scale) $0.3, ECI 126Gemma 3 12B : Average price ($ per million tokens, log scale) $0.07, ECI 124Gemma 2 27B : Average price ($ per million tokens, log scale) $0.7, ECI 122Mistral Large : Average price ($ per million tokens, log scale) $3, ECI 122Mistral Nemo : Average price ($ per million tokens, log scale) $0.03, ECI 119Gemma 3 4B : Average price ($ per million tokens, log scale) $0.04, ECI 116Claude Opus 4.1 : Average price ($ per million tokens, log scale) $30, ECI 144Claude Opus 4.1Claude Opus 5.5
Each dot is a model rated by Epoch AI; Claude Opus 4.1 is in orange. Higher = more capable, further left = cheaper. Open the LLM benchmark to filter.

For at least equal performance, Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol cost at least 30% less.

Features, privacy and local use

  • It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
  • It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
  • Its knowledge stops at January 2025.

Its weights are not published: it can only be used through the Anthropic API or a broker such as OpenRouter, which means sending your data off your machines.

Other Anthropic models

Average price per million tokens (3 input for 1 output).
ModelReleasedAvg. priceECI
Claude Haiku 5.5Oct 7, 2026$0.2159.3
Claude Sonnet 5.5Sep 28, 2026$4166.2
Claude Opus 5.5Sep 22, 2026$8168.8
Claude Fable 5.1Sep 1, 2026$20166.5
Claude Opus 5Jul 24, 2026$10163.9
Claude Sonnet 5Jun 30, 2026$4156.9
Claude Fable 5Jun 9, 2026$20163.4
Claude Opus 4.8May 27, 2026$10159

Verdict

Computed score: 26/100, from public data (performance, price, context, features).

Strengths

  • Discounted batch pricing.

Limitations

  • Expensive: costlier than 98 % of paid models.

Avoid if…

  • you process large volumes on a tight budget;
  • your data must not leave your servers;
  • your tasks are mostly simple: a non-reasoning model will cost less.

Frequently asked questions

How much does Claude Opus 4.1 cost?

$15 per million input tokens and $75 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0675.

How big is Claude Opus 4.1's context window?

200,000 tokens, roughly 150,000 words, with a maximum of 32,000 output tokens.

Can Claude Opus 4.1 run locally?

No, Anthropic does not publish its weights: it is API-only.

Is Claude Opus 4.1 suitable for an AI agent?

Technically yes: it supports tool calling. Then check its cost for your volume.

How good is Claude Opus 4.1?

Epoch AI ranks it #88 of 125 rated models (ECI 144.1). On GPQA Diamond, it scores 77.3%.

What are the alternatives to Claude Opus 4.1?

The closest models on price and performance are o1, o3 Pro, and o3.

Related articles

Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score