Claude Opus 4.7
Claude Opus 4.7 is an Opus-tier model from Anthropic built for demanding software engineering, long-running agents, and vision-heavy tasks like computer use.
input · usd / 1m tok
$5.00
output · usd / 1m tok
$25.00
context window
1mtokens
modalities · in → out
takes text and image in, gives text out
pricing
base api ratesusd per 1m tokens
- input
- $5.00
- output
- $25.00
- cache read
- $0.50
- cache write · default ttl
- $6.25
- cache write · 1h ttl
- $10.00
providers
Anthropic hosts Claude Opus 4.7. Impossibl routes your request intelligently and handles failover automatically when a provider is down.
- Anthropic
specifications
takes text and image in, gives text outanthropic/claude-opus-4-7
- creatorAnthropic
- model typeText generation
- context window1,000,000 tokens
- maximum outputnot published
- input
takes text and image in, gives text out
- outputtext
- tool callingnot verified
- releasedapr 16, 2026
- endpoint
/v1/chat/completions
unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.
try it · your prompt, this model, live
# responses API
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["IMPOSSIBL_API_KEY"],
base_url="https://api.impossibl.com/v1",
)
resp = client.responses.create(
model="anthropic/claude-opus-4-7",
input="",
)
print(resp.output_text)
edit the prompt, then run
benchmarks
intelligence index
40.7#14 of 90 models on the gateway
- coding index73.6#15 of 60
- agentic index39.5#24 of 49
- omniscience27.3#9 of 86
- gpqa91.4%#27 of 88
- humanity’s last exam42.3%#21 of 89
- terminal-bench v2.183.1%#16 of 57
- GPQA91.4%
- Tau288.6%
- Terminal-Bench v2.183.1%
- MMMU-Pro78.8%
- AA-LCR78.7%
- IFBench58.6%
- Terminal-Bench Hard51.5%
- ITBench46.7%
- AnalystAgent43.8%
- Humanity’s Last Exam42.3%
- Tau Banking34.6%
- CritPt12.0%
- Intelligence Index40.69
- Omniscience Index27.27
- GDPval Elo1395.78
- coding index (API)73.6
- agentic index (API)39.5
- intelligence index (API)40.7
each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-09-11.
compare Claude Opus 4.7 with other models
frontier labs and open weights, best-ranked firstusd / 1m tok · in / out
- openai/gpt-6-astra$10.00 / $50.00compare →
- meta/muse-spark-1.3$1.25 / $4.25compare →
- zai/glm-5.3$1.40 / $4.40compare →
- xai/grok-4.6$2.00 / $6.00compare →
frequently asked questions
What is Claude Opus 4.7?
Claude Opus 4.7 is an Opus-tier model from Anthropic built for demanding software engineering, long-running agents, and vision-heavy tasks like computer use. It improves on Opus 4.6 with higher-resolution image input, an updated tokenizer, a new xhigh effort level, and stricter instruction following.
How much does Claude Opus 4.7 cost?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens through the Impossibl API. Cache reads cost $0.50 per million tokens; cache writes cost $6.25 per million tokens; cache writes with one-hour retention cost $10.00 per million tokens. All rates are in USD.
What is the context length of Claude Opus 4.7?
Claude Opus 4.7 has a 1,000,000-token context window through the Impossibl API.
What inputs and outputs does Claude Opus 4.7 support?
Claude Opus 4.7 accepts text and image as input. Claude Opus 4.7 returns text.
How do I use Claude Opus 4.7 through an API?
Claude Opus 4.7 is available through the Impossibl API. Use anthropic/claude-opus-4-7 as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.
When was Claude Opus 4.7 released?
Anthropic released Claude Opus 4.7 on April 16, 2026.
this page describes Claude Opus 4.7 as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.
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