The claude-opus-4-7-think model has adaptive thinking mode pre-enabled; the default thinking intensity is "medium", and it can be invoked directly via the OpenAI unified API. The claude-opus-4-7 model does not display thinking content by default; you need to set the extra parameter "display": "summarized" to enable it.
Claude Opus 4.7 Thinking vs Grok 4.5
Output tokens cost $25.00 per million on Claude Opus 4.7 Thinking and $6.00 per million on Grok 4.5. Input tokens cost $5.00 per million on Claude Opus 4.7 Thinking and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.50 per million on Claude Opus 4.7 Thinking and $0.50 per million on Grok 4.5. Context lengths are 200,000 tokens on Claude Opus 4.7 Thinking and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 1.6s on Claude Opus 4.7 Thinking and 2.0s on Grok 4.5. Measured output throughput is 89.2 tok/s on Claude Opus 4.7 Thinking and 26.7 tok/s on Grok 4.5. On the LMArena coding leaderboard Claude Opus 4.7 Thinking scores 1547 and Grok 4.5 scores 1523.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Claude Opus 4.7 Thinking, Grok 4.5?
Grok 4.5: $6.00/M output tokens; Claude Opus 4.7 Thinking: $25.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Claude Opus 4.7 Thinking: 1547; Grok 4.5: 1523 (LMArena coding leaderboard).
Which responds faster?
Claude Opus 4.7 Thinking: 1.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Claude Opus 4.7 Thinking accepts 200,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 32,000 tokens on Claude Opus 4.7 Thinking and 500,000 tokens on Grok 4.5.
Which one generates tokens faster?
Claude Opus 4.7 Thinking at 89.2 tok/s and Grok 4.5 at 26.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Claude Opus 4.7 Thinking accepts image and text input and supports thinking, tool calling, function calling and structured outputs; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
Can I call Claude Opus 4.7 Thinking and Grok 4.5 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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