How much does Claude Opus 4.7 cost?

On the Respan gateway, Claude Opus 4.7 costs from $2.50 per 1M input tokens and $12.50 per 1M output tokens on OpenRouter, after gateway discounts. Averaged across its 9 routes from 7 providers, it costs $4.78 per 1M input tokens and $23.89 per 1M output tokens.

Which providers serve Claude Opus 4.7 on Respan?

Claude Opus 4.7 is available through 9 routes from 7 providers: OpenRouter, Anthropic, Bedrock, DeepInfra, Inference.net, Perplexity, and 1 more. Bedrock and Google Vertex AI require your own provider API key (BYOK).

What is Claude Opus 4.7's context window?

Claude Opus 4.7 accepts up to 1M tokens of context on its largest provider route.

How do I use Claude Opus 4.7 with the Respan gateway?

Point any OpenAI-compatible SDK at https://api.respan.ai/api/ with your Respan API key and set the model to "anthropic/claude-opus-4-7". To set it up with a coding agent, copy the agent setup prompt at the top of this page.

How fast is Claude Opus 4.7?

Over the last 30 days of requests through the Respan gateway, the fastest provider was Anthropic at 84 tokens per second, and the lowest response latency was 0.6 seconds on Bedrock. Speed varies with request size and provider.

Where does Claude Opus 4.7 rank on the Respan Index?

Claude Opus 4.7 scores 47.7 out of 100 on the Respan Index v1.1, ranking #29 of 143 models. By category: Coding 32.2, Agents 61.3, Reasoning 44.8, Knowledge & language 50.0, and Human preference 54.4. The Respan Index combines independent and lab-reported benchmark results into one score, using benchmark data collected by llmmetric.com.

How does Claude Opus 4.7 score on benchmarks?

Claude Opus 4.7 has 39 published benchmark scores, including SWE-bench Verified 87.6%, OSWorld-Verified 82.8%, and GPQA Diamond 94.2%. Each score links to where it was published; the data is collected by llmmetric.com.

Claude Opus 4.7

Q: What is Claude Opus 4.7?

Claude Opus 4.7 is a model from Anthropic, released on Apr 16, 2026. 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 complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through. For users upgrading from earlier Opus versions, see our official migration guide here.

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 complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through. For users upgrading from earlier Opus versions, see our official migration guide here

Input / output, from: $2.50 / $12.50 per 1M
Context: 1M tokens
Released: Apr 16, 2026

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Agent setup

Paste into Claude Code, Cursor, or Codex

Help me set up the Respan gateway: fetch and follow https://www.respan.ai/docs/agent-setup.md. Use model "anthropic/claude-opus-4-7".

from openai import OpenAI

client = OpenAI(

    base_url="https://api.respan.ai/api/",

    api_key="YOUR_RESPAN_API_KEY",

)

response = client.chat.completions.create(

    model="anthropic/claude-opus-4-7",

    messages=[{"role": "user", "content": "Hello!"}],

)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({

  baseURL: "https://api.respan.ai/api/",

  apiKey: "YOUR_RESPAN_API_KEY",

});

const response = await client.chat.completions.create({

  model: "anthropic/claude-opus-4-7",

  messages: [{ role: "user", content: "Hello!" }],

});

console.log(response.choices[0].message.content);

curl https://api.respan.ai/api/chat/completions \

  -H "Authorization: Bearer YOUR_RESPAN_API_KEY" \

  -H "Content-Type: application/json" \

  -d '{

    "model": "anthropic/claude-opus-4-7",

    "messages": [{"role": "user", "content": "Hello!"}]

}'

Read docs

Providers

9 routes from 7 providers, cheapest first, priced per 1M tokens after gateway discounts. BYOK routes use your own key.

Provider	Context	Input	Output	Cache read	Capabilities
OpenRouter`openrouter/anthropic/claude-opus-4.7:batch`	1M	$2.50/M	$12.50/M	$0.25/M	+2
Anthropic`anthropic/claude-opus-4-7`	200K	$5.00/M	$25.00/M	$0.50/M	+2
BedrockBYOK only`bedrock/global.anthropic.claude-opus-4-7`	200K	$5.00/M	$25.00/M	$0.50/M	+2
DeepInfra`deepinfra/anthropic/claude-opus-4-7`	1M	$5.00/M	$25.00/M	$0.00/M	+2
Inference.net`inference_net/claude-opus-4-7`	1M	$5.00/M	$25.00/M	$0.50/M
OpenRouter`openrouter/anthropic/claude-opus-4.7`	1M	$5.00/M	$25.00/M	$0.50/M	+2
Perplexity`perplexity/anthropic/claude-opus-4-7`	200K	$5.00/M	$25.00/M	$0.50/M
Google Vertex AIBYOK only`vertex_ai/claude-opus-4-7@default`	200K	$5.00/M	$25.00/M	$0.50/M	+2
BedrockBYOK only`bedrock/us.anthropic.claude-opus-4-7`	200K	$5.50/M	$27.50/M	$0.55/M	+2

Is a provider down? OpenRouter status, Anthropic status, AWS Bedrock status, Perplexity status, Google AI status

Pricing

Averaged across 9 routes from 7 providers, in USD per 1M tokens after gateway discounts.

Average input: $4.78 per 1M
Average output: $23.89 per 1M
Average cache read: $0.42 per 1M
Average cache write: $4.58 per 1M

Cost by volume

Total cost from 0 to 1T tokens on the cheapest and most expensive provider.

Highest$5.50/MBedrockLowest$2.50/MOpenRouter

Throughput and latency

30-day averages from requests through the Respan gateway, 3 of 9 routes had traffic in that window. Under each figure, every model on the gateway by its average, this one in blue.

Output speed

Higher is better

84tokens/sbest, on Anthropic

Faster than 78% of the other 485 models on the gateway

Anthropic84 tok/s
Bedrock9.5 tok/s
Perplexity4.6 tok/s

Time to first token

Lower is better

3.2son Anthropic

Faster than 39% of the other 64 models on the gateway

Response latency

Lower is better

0.6sbest, on Bedrock

Faster than 20% of the other 501 models on the gateway

Bedrock0.6 s
Perplexity1.3 s
Anthropic6.8 s

No traffic in the last 30 days on OpenRouter, Bedrock, DeepInfra, Inference.net, and Google Vertex AI.

Benchmarks

The Respan Index plus 39 published scores from 12 sources, each linked to where it was published.

47.7/ 100

Respan Index#29 of 143

143 ranked models. The shaded band is this model's 95% interval, 43.1 to 52.6. Gemini 3.7 Flash and GPT-5.4 fall inside it, so the gap is within the margin of error.

Published scores

Benchmark	Score	Source	Published
SWE-bench VerifiedAnthropic	87.6%	Anthropic	May 28, 2026
SWE-bench VerifiedEpoch AI	83.5%	Epoch AI	Oct 5, 2026
LiveBench CodingLiveBench	82.1%	LiveBench	Oct 5, 2026
SWE-bench MultilingualAnthropic	80.5%	Anthropic	May 28, 2026
WeirdMLHåvard Tveit Ihle	76.4%	Håvard Tveit Ihle	Oct 5, 2026
Terminal-Bench 2.1Anthropic	66.1%	Anthropic	May 28, 2026
SWE-Bench ProAnthropic	64.3%	Anthropic	May 28, 2026
GSO Opt@1GSO	42.2%	GSO	Apr 27, 2026
SWE-bench MultimodalAnthropic	34.5%	Anthropic	May 28, 2026
MirrorCodeEpoch AI	31.1%	Epoch AI	Oct 5, 2026

Benchmark	Score	Source	Published
OSWorld-VerifiedAnthropic	82.8%	Anthropic	May 28, 2026
BrowseCompAnthropic	79.8%	Anthropic	May 28, 2026
LiveBench Agentic CodingLiveBench	50.7%	LiveBench	Oct 5, 2026
APEX-AgentsMercor	49.2%	Mercor	Oct 5, 2026
tau2-bench Banking KnowledgeSierra	40.2%	Sierra	May 5, 2026
Vending-Bench 2Andon Labs	10936.76 · #5 of 59	Andon Labs	Oct 5, 2026

Benchmark	Score	Source	Published
GPQA DiamondAnthropic	94.2%	Anthropic	May 28, 2026
GPQA DiamondEpoch AI	90.2%	Epoch AI	Oct 5, 2026
LiveBench ReasoningLiveBench	87.2%	LiveBench	Oct 5, 2026
LiveBench Data AnalysisLiveBench	78.3%	LiveBench	Oct 5, 2026
SimpleBenchSimpleBench	61.7%	SimpleBench	Apr 22, 2026
Humanity's Last Exam (with tools)Anthropic	54.7%	Anthropic	May 28, 2026
Humanity's Last Exam (no tools)Anthropic	46.9%	Anthropic	May 28, 2026
Chess PuzzlesEpoch AI	30%	Epoch AI	Oct 5, 2026
Mystery Game PuzzlesEpoch AI	28%	Epoch AI	Oct 5, 2026
EBR-benchEpoch AI	19%	Epoch AI	Oct 5, 2026

Benchmark	Score	Source	Published
OTIS Mock AIME 2024-2025Epoch AI	97.8%	Epoch AI	Oct 5, 2026
AIME 2026MathArena	95.8%	MathArena	Sep 17, 2026
LiveBench MathematicsLiveBench	92.9%	LiveBench	Oct 5, 2026
FrontierMath Tiers 1-3 v2Epoch AI	70.2%	Epoch AI	Oct 5, 2026
FrontierMath Tier 4 v2Epoch AI	31.7%	Epoch AI	Oct 5, 2026

Benchmark	Score	Source	Published
LiveBench LanguageLiveBench	77.9%	LiveBench	Oct 5, 2026
LiveBench Instruction FollowingLiveBench	66.7%	LiveBench	Oct 5, 2026
SimpleQA VerifiedEpoch AI	51.7%	Epoch AI	Oct 5, 2026

Benchmark	Score	Source	Published
Furniture AssemblyEpoch AI	33.3%	Epoch AI	Oct 5, 2026

Benchmark	Score	Source	Published
LMArena WebDevLMArena	1558 Elo · #31 of 99	LMArena	Oct 8, 2026
LMArena EloLMArena	1501 Elo · #5 of 147	LMArena	Oct 8, 2026
LMArena VisionLMArena	1298 Elo · #4 of 85	LMArena	Oct 9, 2026