Claude Opus 4.7 vs GPT-5.6 Terra
GPT-5.6 Terra leads the LLM Stats Score 49.4 to 43.6. GPT-5.6 Terra is 2.2x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
GPT-5.6 Terra leads the overall LLM Stats Score 49.4 to 43.6, ranking #22 overall.
The models split the 4 individual benchmarks reported for both models evenly.
On price, GPT-5.6 Terra is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
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 GPT-5.6 Terra
- overall performance matters — it scores 49.4 and ranks #22 on LLM Stats
- cost matters — it's about 2.2x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 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 · 45 for GPT-5.6 Terra
Claude Opus 4.7 outperforms in 2 benchmarks (GPQA, SWE-Bench Pro), while GPT-5.6 Terra is better at 2 benchmarks (BrowseComp, FrontierCode 1.1).
Both models are evenly matched across the 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) is 2.5x more expensive than GPT-5.6 Terra ($2.00/1M tokens).
For output processing, Claude Opus 4.7 ($25.00/1M tokens) is 2.1x more expensive than GPT-5.6 Terra ($12.00/1M tokens).
In conclusion, Claude Opus 4.7 is more expensive than GPT-5.6 Terra.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Terra accepts 1,050,000 input tokens compared to Claude Opus 4.7's 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 GPT-5.6 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.7
GPT-5.6 Terra
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 GPT-5.6 Terra was released on 2026-07-09.
GPT-5.6 Terra is 3 months newer than Claude Opus 4.7.
Apr 16, 2026
5 months ago
Jul 9, 2026
3 months ago
2mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while Claude Opus 4.7's cutoff date is not specified.
We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without Claude Opus 4.7's cutoff date.
—
Feb 2026
Provider Availability
Claude Opus 4.7 is available from Anthropic, DeepInfra, Vertex AI. GPT-5.6 Terra is available from OpenAI.
Claude Opus 4.7
GPT-5.6 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.7 and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.7 vs GPT-5.6 Terra.