Grok vs Claude
Grok 4.7 vs Claude Opus 5.5
Grok 4.7 (xAI) and Claude Opus 5.5 (Anthropic) compared on the facts each vendor publishes. On cost, pick Grok 4.7: it lists $2 in and $6 out per 1M tokens, against $4 and $20 for Claude Opus 5.5. For very long inputs, Claude Opus 5.5 lists the larger context window: 1M tokens against 500K. We have not run either model: every value below is Reported, with a link to its source.
Reported Updated · Markdown · All model comparisons
xAI · generally available · API only · released Sep 21, 2026
- $ in / 1M tokens
- $2
- $ out / 1M tokens
- $6
- Context
- 500K
- Max output
- —
Anthropic · generally available · API only · released Sep 22, 2026
- $ in / 1M tokens
- $4
- $ out / 1M tokens
- $20
- Context
- 1M
- Max output
- 128K
How to choose
- On cost, pick Grok 4.7: it lists $2 in and $6 out per 1M tokens, against $4 and $20 for Claude Opus 5.5.
- For very long inputs, Claude Opus 5.5 lists the larger context window: 1M tokens against 500K.
- Claude Opus 5.5 is newer, by 1 day.
Specs side by side
Each value is read from the vendor page linked beside it. “Not published” means we found no vendor figure, not that the feature is missing.
| Spec | Grok 4.7 | Claude Opus 5.5 |
|---|---|---|
| Price (as listed) | $2 in / $6 out per 1M tokenssource | $4 in / $20 out per 1M tokenssource |
| Context window | 500,000 tokens (500K)source | 1,000,000 tokens (1M)source |
| Max output | Not published | 128,000 tokenssource |
| Input | text, imagesource | text, imagesource |
| Output | textsource | textsource |
| Licence | Proprietary (API)source | Proprietary (API)source |
| Released | Sep 21, 2026source | Sep 22, 2026source |
| Status | generally available | generally available |
| API id | grok-4.7source | claude-opus-5-5source |
Benchmark snapshots
From the boards named below, not our tests. Boards use different tasks and settings, so compare within a row, never across rows.
| Board | Grok 4.7 | Claude Opus 5.5 | Type, date |
|---|---|---|---|
| LMArena WebDev leaderboard (Elo-style score) | not listed | 1807 | Independent, Oct 22, 2026 |
| Terminal-Bench 4.0 official leaderboard | 37.6% | 64.8% | Independent, Oct 26, 2026 |
| SWE-bench Pro (Public), as reported by the vendors | not listed | 89.9% | Vendor-reported, Oct 26, 2026 |
| Moonshot AI: Kimi K3.1 Pro launch post (Terminal-Bench 4.0) | not listed | 66.4% | Vendor-reported, Oct 23, 2026 |
More context: best LLM for coding.
FAQ
Which is cheaper, Grok 4.7 or Claude Opus 5.5?
Grok 4.7: $2 in / $6 out per 1M tokens. Claude Opus 5.5: $4 in / $20 out per 1M tokens. Both prices are the vendors' own listed prices on the date each model was last verified.
Which has the bigger context window?
Claude Opus 5.5, with 1,000,000 tokens against 500,000.
Which is better for coding?
We have not tested either. Sourced snapshots: LMArena WebDev leaderboard (Elo-style score) (independent, Oct 22, 2026): Claude Opus 5.5 (Max) 1807; Terminal-Bench 4.0 official leaderboard (independent, Oct 26, 2026): Claude Opus 5.5 (Claude Code, max) 64.8%, Grok 4.7 (Grok Build, xhigh) 37.6%; SWE-bench Pro (Public), as reported by the vendors (vendor-reported, Oct 26, 2026): Claude Opus 5.5 (max) 89.9%; Moonshot AI: Kimi K3.1 Pro launch post (Terminal-Bench 4.0) (vendor-reported, Oct 23, 2026): Claude Opus 5.5 66.4%. Scores from different boards are not comparable with each other.
Are Grok 4.7 and Claude Opus 5.5 open source?
Grok 4.7: Proprietary (API), no downloadable weights. Claude Opus 5.5: Proprietary (API), no downloadable weights.
Did you test Grok 4.7 and Claude Opus 5.5?
No. This page is Reported: every fact is read from the vendor page linked beside it, and benchmark numbers come from the named boards.
Related
- Grok 4.7: all facts
- Claude Opus 5.5: all facts
- Claude Opus 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs Claude Sonnet 5.5: twice the price, is it worth it?
- Gemini 4 Argon vs Claude Opus 5.5: API price before and after Dec 1
- GPT-6.1 Terra vs Claude Opus 5.5: price per task, context and when Opus still fits
- Best AI model for agents: how to choose
- Longest context window LLMs
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