Claude Opus 5.5 vs Grok 4.7
At a Glance
| Compare | Claude Opus 5.5Anthropic | Grok 4.7xAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #1 of 57100.0 score · 2/3 sources · provisional · missing LMArena Text · full-core range 66.7–100.0 | #11 of 5774.0 score · 2/3 sources · provisional · missing LMArena Text · full-core range 49.3–82.7 |
| CostLower is better · Published-token output estimate | #25 of 27$0.512 per LiveBench case | #24 of 27$0.341 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | #9 of 2753.9 score · 2/3 sources · provisional · missing LMArena Text · full-core range 37.3–53.9 | #20 of 2744.3 score · 2/3 sources · provisional · missing LMArena Text · full-core range 32.0–48.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $4.00Anthropic ↗ · Sep 22, 2026 | $2.00Xai ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $20.00Anthropic ↗ · Sep 22, 2026 | $6.00Xai ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,000K | 500K |
| Model facts checked | Sep 22, 2026View model evidence → | Sep 22, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Claude Opus 5.5 | Grok 4.7 |
|---|---|---|
| ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader | 98.50100% of row best · percent · Claude Opus 5.5 (High) | 90.1792% of row best · percent · Grok 4.7 (High) |
| ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader | 93.33100% of row best · percent · Claude Opus 5.5 (High) | 61.3966% of row best · percent · Grok 4.7 (XHigh) |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 85.94100% of row best · percent · claude-opus-5-5-max-effort · 25,610 output tokens / case | 82.2096% of row best · percent · grok-4.7-xhigh · 56,776 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 85.93100% of row best · points · Claude Opus 5.5 (max effort) · 126,485 output tokens / case | 79.5893% of row best · points · Grok 4.7 (high) · 45,964 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Quality Versus Estimated Output Cost
Side-by-Side Facts
| Field | Claude Opus 5.5 | Grok 4.7 |
|---|---|---|
| Developer | Anthropic | xAI |
| Family | Claude 5 5 | Grok 4 |
| Model | Claude Opus 5.5 | Grok 4.7 |
| Version | Claude Opus 5.5 | Grok 4.7 |
| Lifecycle | active | active |
| Released | 2026-09-22 | 2026-09-21 |
| Knowledge cutoff | 2026-06-01 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 500K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
| Message Batches max output (beta) | 300000 tokens | Unknown |
| Default effort | medium | Unknown |
| Retirement commitment | Not sooner than September 22, 2027 | Unknown |
| Thinking | Adaptive (always on) | Unknown |
Claude Opus 5.5 Capabilities
Grok 4.7 Capabilities
Related Comparisons
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|---|---|---|---|
Claude Opus 5Anthropic | vs | Claude Opus 5.5Anthropic | family variantsimage, text |
Claude Opus 5.5Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 5.5Anthropic | family variantsimage, text |
Claude Opus 5.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 5.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs | GPT-6.1 SolOpenAI | cross-developer peersimage, text |
Claude Opus 5.5Anthropic | vs | GPT-6 SolOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 5.5 vs Grok 4.7 FAQs
Is Claude Opus 5.5 or Grok 4.7 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 5.5 and Grok 4.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 5.5 or Grok 4.7?+
Claude Opus 5.5 is $4.00 and Grok 4.7 is $2.00 per million tokens, so Grok 4.7 is cheaper on this metric. Claude Opus 5.5 is $20.00 and Grok 4.7 is $6.00 per million tokens, so Grok 4.7 is cheaper on this metric.
Which has a larger context window, Claude Opus 5.5 or Grok 4.7?+
Claude Opus 5.5 has the larger sourced context window. Claude Opus 5.5 supports 1,000,000 tokens and Grok 4.7 supports 500,000 tokens.
Which performs better in benchmarks, Claude Opus 5.5 or Grok 4.7?+
Claude Opus 5.5 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Claude Opus 5.5 or Grok 4.7 be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Claude Opus 5.5 is not marked open weight; Grok 4.7 is not marked open weight.
Can Claude Opus 5.5 and Grok 4.7 understand images?+
Claude Opus 5.5 is documented with image input; Grok 4.7 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 5.5 or Grok 4.7?+
Claude Opus 5.5 has a sourced maximum output of 128,000 tokens; Grok 4.7's maximum output is not reported. A larger limit cannot be determined.
Do Claude Opus 5.5 and Grok 4.7 support reasoning and tool use?+
Claude Opus 5.5: reasoning, tool calling, and image input. Grok 4.7: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 5.5 or Grok 4.7?+
Claude Opus 5.5 has 2 sourced provider routes; Grok 4.7 has 1, so Claude Opus 5.5 has broader tracked availability.
Which offers better value, Claude Opus 5.5 or Grok 4.7?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.