Claude Opus 4.7 is the release that modernized the Opus architecture: it introduced a new tokenizer (the same one later used by Sonnet 5 and Fable 5), made adaptive thinking the sole thinking mode with effort-based control, added the stop_details refusal object, and brought higher-resolution image input support.
- Input
- text image $5/M
- Output
- text $25/M
- Cache read
- $0.5/M
- Context
- 1M
- Knowledge cutoff
- 2026-01
Benchmarks
Vendor-published: Alibaba (Qwen) Anthropic ByteDance DeepSeek Google MiniMax Moonshot OpenAI Tencent Z.ai
Price in context
Where the price sits among 60 comparable models
The bar shows how this model’s price compares with every other model of the same kind on Synthorai. The cheapest and the most expensive are named at each end. These are base rates; batch, region and cache-write discounts are on the pricing page.
Specs & limits
Tokens
| Context window (vendor spec) | 1,000,000 |
|---|---|
| Max output (vendor spec) | 128,000 |
| Knowledge cutoff | 2026-01 |
Prompt caching
| How it caches | explicit (opt-in) |
|---|---|
| Min prefix | 2,048 provider default is 1,024 |
| Lifetime | 5m default, 1h option |
| Write cost | 1.25x (5m) / 2x (1h) |
Thinking
| Vendor control | thinking.type "adaptive" + output_config.effort |
|---|---|
| Accepted values | thinking.type adaptive · disabled; effort low · medium · high · xhigh · max; "enabled" returns 400 |
| Default | thinking off; effort high applied when the request sets nothing |
| Can be turned off | Yes |
| Thinking behaviour | Reasoning between tool calls always appears in thinking blocks with no beta header; display defaults to "omitted", so thinking blocks come back with an empty thinking field unless you set display "summarized"; earlier turns' thinking blocks are kept in context and billed as input. |
| Parameter | reasoning_effort |
| Values | minimal · low · medium · high the gateway's parameter surface - the vendor mapping above applies |
Model
| Modalities | text + image → text |
|---|
- New tokenizer (~30% more tokens vs prior models)
- high-resolution image input up to 2576px
- xhigh effort level
- task budgets beta
- fast mode deprecated with removal 2026-07-24
Use Claude Opus 4.7 in 30 seconds
OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions
from openai import OpenAI
client = OpenAI(
base_url="https://synthorai.io/v1",
api_key="sk-syn-...",
)
resp = client.chat.completions.create(
model="claude-opus-4-7",
messages=[{"role": "user", "content": "Summarize this diff"}],
reasoning_effort="medium",
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://synthorai.io/v1",
apiKey: "sk-syn-...",
});
const resp = await client.chat.completions.create({
model: "claude-opus-4-7",
messages: [{ role: "user", content: "Summarize this diff" }],
reasoning_effort: "medium",
});
console.log(resp.choices[0].message.content);curl https://synthorai.io/v1/chat/completions \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-4-7",
"messages": [{"role": "user", "content": "Hello"}],
"reasoning_effort": "medium"
}'package main
import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://synthorai.io/v1"),
option.WithAPIKey("sk-syn-..."),
)
resp, _ := client.Chat.Completions.New(context.TODO(), openai.ChatCompletionNewParams{
Model: "claude-opus-4-7",
Messages: []openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Summarize this diff"),
},
ReasoningEffort: openai.ReasoningEffortMedium,
})
fmt.Println(resp.Choices[0].Message.Content)
}import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
import com.openai.models.ReasoningEffort;
OpenAIClient client = OpenAIOkHttpClient.builder()
.baseUrl("https://synthorai.io/v1")
.apiKey("sk-syn-...")
.build();
ChatCompletion resp = client.chat().completions().create(
ChatCompletionCreateParams.builder()
.model("claude-opus-4-7")
.addUserMessage("Summarize this diff")
.reasoningEffort(ReasoningEffort.MEDIUM)
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About Claude Opus 4.7
- Anthropic presented it as its most capable generally available model for complex reasoning and agentic coding at unchanged pricing, with particular gains on the hardest software-engineering tasks and a habit of verifying its own output.
- It keeps the 1M-token context window, 128K max output, and $5/$25 pricing, with a January 2026 reliable knowledge cutoff.
- The image change is concrete: the long edge rises from 1568 to 2576 pixels automatically with no beta header, at the cost of up to roughly three times more image tokens, which helps screenshot understanding, computer use, and document analysis.
- This is also where the xhigh effort level appeared, sitting between high and max and tuned for agentic runs measured in tens of minutes and millions of tokens; Anthropic recommends starting there for coding and agentic work, and notes that 4.7 honours effort levels more strictly than 4.6 at the low and medium end.
- Prefill and non-default sampling parameters return errors, prompt caching needs a 2,048-token prefix, and fast mode was removed in July 2026.
- Now superseded by Opus 4.8, it remains available, and Synthorai exposes it via the familiar OpenAI-compatible chat interface.
FAQ
Is the Claude Opus 4.7 API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $5/M input tokens, that credit alone covers roughly 24 requests of ~8K tokens against Claude Opus 4.7.
What is Claude Opus 4.7 best at?
Introduced a new modernized tokenizer; adaptive thinking as the sole thinking mode; stop_details refusal object and higher-resolution images. See the About section for the full picture from the vendor's own release notes.
How much does Claude Opus 4.7 cost?
Claude Opus 4.7 costs $5 per million input tokens and $25 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.5/M.
Does Claude Opus 4.7 support prompt caching?
Yes, via opt-in: mark stable prefixes with cache_control breakpoints. Cached input tokens bill at $0.5/M vs $5/M uncached; prompts need a 2,048-token stable prefix to cache (TTL 5m default, 1h option). Prompt caching guide →
How do I get access to Claude Opus 4.7?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="claude-opus-4-7", and you're done. One API key covers every model on the gateway.
What is Claude Opus 4.7's knowledge cutoff?
Claude Opus 4.7's knowledge cutoff is 2026-01, per the vendor's official documentation (as of 2026-07-09).
Related models
Compare
Every value on this page is transcribed from the vendor's own documentation, linked above, and carries the date it was checked. Prices are compared across the catalogue; specification values that vendors define differently are shown with the difference stated rather than charted. Nothing here is measured by us, and nothing is scored.