Claude Opus 4.7 vs Claude Sonnet 4.6
At a Glance
| Compare | Claude Opus 4.7Anthropic | Claude Sonnet 4.6Anthropic |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $3.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | $15.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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 4.7 | Claude Sonnet 4.6 |
|---|---|---|
| ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader | 93.50100% of row best · percent · Claude 4.7 (High) | 86.5093% of row best · percent · Claude Sonnet 4.6 (High) |
| ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader | 75.83100% of row best · percent · Claude 4.7 (Max) | 60.4280% of row best · percent · Claude Sonnet 4.6 (High) |
| LMArena Document Arenadocument-2026-09-13-a64ca3b12b6e · arena_rating · leader | 1,494.71100% of row best · rating · claude-opus-4-7-high; 95% CI [1488.20710383, 1501.21879014]; votes 21957; rank 7 | 1,482.2499% of row best · rating · claude-sonnet-4-6; 95% CI [1476.36427265, 1488.10617859]; votes 57813; rank 11 |
| LMArena Search Arenasearch-2026-10-13-a64ca3b12b6e · arena_rating · leader | 1,230.15100% of row best · rating · claude-opus-4-7; 95% CI [1225.28137992, 1235.01180806]; votes 127506; rank 9 | 1,220.5099% of row best · rating · claude-sonnet-4-6-search; 95% CI [1216.03052081, 1224.97904735]; votes 173986; rank 12 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · leader | 1,312.95100% of row best · rating · claude-opus-4-7-high; 95% CI [1306.39165389, 1319.51248325]; votes 22733; rank 11 | 1,282.4798% of row best · rating · claude-sonnet-4-6; 95% CI [1276.33534417, 1288.60341882]; votes 27422; rank 34 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 80.97100% of row best · percent · claude-opus-4-7-xhigh-effort · 11,460 output tokens / case | 77.1195% of row best · percent · claude-sonnet-4-6-thinking-auto-medium-effort · 13,226 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 78.27100% of row best · points · Claude Opus 4.7 (xhigh) · 12,590 output tokens / case | 75.9997% of row best · points · Claude Sonnet 4.6 (high) · 41,616 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 6 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.
Side-by-Side Facts
| Field | Claude Opus 4.7 | Claude Sonnet 4.6 |
|---|---|---|
| Developer | Anthropic | Anthropic |
| Family | Claude 4 | Claude 4 |
| Model | Claude Opus 4.7 | Claude Sonnet 4.6 |
| Version | Claude Opus 4.7 | Claude Sonnet 4.6 |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2026-02-17 |
| Knowledge cutoff | 2026-01-01 | 2025-08-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| 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) | Anthropic (Standard), Deepinfra (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
Claude Opus 4.7 Capabilities
Claude Sonnet 4.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs Claude Sonnet 4.6 FAQs
Is Claude Opus 4.7 or Claude Sonnet 4.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Claude Sonnet 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.7 or Claude Sonnet 4.6?+
Claude Opus 4.7 is $5.00 and Claude Sonnet 4.6 is $3.00 per million tokens, so Claude Sonnet 4.6 is cheaper on this metric. Claude Opus 4.7 is $25.00 and Claude Sonnet 4.6 is $15.00 per million tokens, so Claude Sonnet 4.6 is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or Claude Sonnet 4.6?+
Both models have the same sourced context window: 1,000,000 tokens each.
Which performs better in benchmarks, Claude Opus 4.7 or Claude Sonnet 4.6?+
Claude Opus 4.7 leads the current overall benchmark count. The result uses 6 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can Claude Opus 4.7 or Claude Sonnet 4.6 be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Claude Opus 4.7 is not marked open weight; Claude Sonnet 4.6 is not marked open weight.
Can Claude Opus 4.7 and Claude Sonnet 4.6 understand images?+
Claude Opus 4.7 is documented with image input; Claude Sonnet 4.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or Claude Sonnet 4.6?+
Both models have the same sourced maximum output: 128,000 tokens each.
Do Claude Opus 4.7 and Claude Sonnet 4.6 support reasoning and tool use?+
Claude Opus 4.7: reasoning, tool calling, and image input. Claude Sonnet 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.7 or Claude Sonnet 4.6?+
Claude Opus 4.7 has 2 sourced provider routes; Claude Sonnet 4.6 has 2, a tie.
Which offers better value, Claude Opus 4.7 or Claude Sonnet 4.6?+
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.