Claude Opus 4.7 vs Claude Opus 4.8
Claude Opus 4.8 leads the LLM Stats Score 51.7 to 44.8. Claude Opus 4.7 and Claude Opus 4.8 cost the same.
Anthropic · Anthropic · Updated for 2026
Which is better?
Claude Opus 4.8 leads the overall LLM Stats Score 51.7 to 44.8, ranking #10 overall.
In the 15 individual benchmarks reported for both models, Claude Opus 4.8 wins 12; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 4.7
- you want predictable pricing at $5.00/M input and $25.00/M output
Choose Claude Opus 4.8
- overall performance matters — it scores 51.7 and ranks #10 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 12 of 15 exact shared results
- you want the most recent training data — it shipped May 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
1 more shared indexes
Individual benchmarks
17 reported for Claude Opus 4.7 · 26 for Claude Opus 4.8
Claude Opus 4.7 outperforms in 3 benchmarks (CharXiv-R, Finance Agent, GPQA), while Claude Opus 4.8 is better at 12 benchmarks (BrowseComp, CyberGym, Finance Agent v2, FrontierCode 1.1, FrontierSWE, Humanity's Last Exam, LiveBench, MCP Atlas, OSWorld-Verified, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).
Claude Opus 4.8 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.7 ($5.00/1M tokens) costs the same as Claude Opus 4.8 ($5.00/1M tokens).
For output processing, Claude Opus 4.7 ($25.00/1M tokens) costs the same as Claude Opus 4.8 ($25.00/1M tokens).
In conclusion, Claude Opus 4.7 and Claude Opus 4.8 cost the same.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 4.7 and Claude Opus 4.8 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.7
Claude Opus 4.8
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Opus 4.7 was released on 2026-04-16, while Claude Opus 4.8 was released on 2026-05-28.
Claude Opus 4.8 is 1 month newer than Claude Opus 4.7.
Apr 16, 2026
4 months ago
May 28, 2026
3 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.7 is available from Anthropic, Vertex AI. Claude Opus 4.8 is available from Anthropic, Vertex AI.
Claude Opus 4.7
Claude Opus 4.8
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.7 and Claude Opus 4.8 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.7 vs Claude Opus 4.8.