Model Comparison

GPT-5.6 Terra vs GPT-5.5Which is better in 2026?

GPT-5.6 Terra shows notably better performance in the majority of benchmarks. GPT-5.6 Terra is 2.0x cheaper per token.

Verdict: GPT-5.6 Terra vs GPT-5.5 — which is better?

GPT-5.6 Terra (by OpenAI) and GPT-5.5 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.6 Terra outperforms in 6 benchmarks (BrowseComp, FrontierMath, GDPval-AA, Graphwalks BFS >128k, MRCR v2 (8-needle), SWE-Bench Pro), while GPT-5.5 is better at 3 benchmarks (GPQA, MMMU-Pro, Toolathlon). GPT-5.6 Terra shows notably better performance in the majority of benchmarks.

On price, GPT-5.6 Terra is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose GPT-5.6 Terra if…

  • you want the strongest raw capability — it leads on 6 of 9 shared benchmarks
  • cost matters — it's about 2.0x cheaper per token
  • you want the most recent training data — it shipped Jul 2026

Choose GPT-5.5 if…

  • you want predictable pricing at $5.00/M input and $30.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

9 benchmarks

GPT-5.6 Terra outperforms in 6 benchmarks (BrowseComp, FrontierMath, GDPval-AA, Graphwalks BFS >128k, MRCR v2 (8-needle), SWE-Bench Pro), while GPT-5.5 is better at 3 benchmarks (GPQA, MMMU-Pro, Toolathlon).

GPT-5.6 Terra shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.6 Terra costs less

For input processing, GPT-5.6 Terra ($2.50/1M tokens) is 2.0x cheaper than GPT-5.5 ($5.00/1M tokens).

For output processing, GPT-5.6 Terra ($15.00/1M tokens) is 2.0x cheaper than GPT-5.5 ($30.00/1M tokens).

In conclusion, GPT-5.5 is more expensive than GPT-5.6 Terra.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
OpenAI
GPT-5.6 Terra
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
OpenAI
GPT-5.5
Input tokens$5.00
Output tokens$30.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,050,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.6 Terra
Input1,050,000 tokens
Output128,000 tokens
OpenAI
GPT-5.5
Input1,050,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Terra and GPT-5.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.6 Terra

Text
Images
Audio
Video

GPT-5.5

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.6 Terra

Proprietary

Closed source

GPT-5.5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Terra was released on 2026-07-09, while GPT-5.5 was released on 2026-04-23.

GPT-5.6 Terra is 3 months newer than GPT-5.5.

GPT-5.6 Terra

Jul 9, 2026

1 weeks ago

2mo newer
GPT-5.5

Apr 23, 2026

2 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Terra has a knowledge cutoff of 2026-02-16, while GPT-5.5 has a cutoff of 2025-12-01.

GPT-5.6 Terra has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to GPT-5.5 (2025-12-01).

GPT-5.6 Terra

Feb 2026

2 mo newer
GPT-5.5

Dec 2025

Provider Availability

GPT-5.6 Terra is available from OpenAI. GPT-5.5 is available from OpenAI.

GPT-5.6 Terra

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

GPT-5.5

openai logo
OpenAI
Input Price:Input: $5.00/1MOutput Price:Output: $30.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Higher BrowseComp score (87.5% vs 84.4%)
Higher FrontierMath score (84.9% vs 35.4%)
Higher GDPval-AA score (53.1% vs 37.8%)
Higher Graphwalks BFS >128k score (76.9% vs 45.4%)
Higher MRCR v2 (8-needle) score (89.6% vs 74.0%)
Higher SWE-Bench Pro score (63.4% vs 58.6%)
Higher GPQA score (93.6% vs 92.9%)
Higher MMMU-Pro score (83.2% vs 80.7%)
Higher Toolathlon score (55.6% vs 53.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Terra and GPT-5.5 side-by-side, then vote on the output you prefer.

GPT-5.6 Terra
✓ Preferred
GPT-5.5
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Terra
OpenAI
GPT-5.5

FAQ

Common questions about GPT-5.6 Terra vs GPT-5.5.

Which is better, GPT-5.6 Terra or GPT-5.5?

GPT-5.6 Terra shows notably better performance in the majority of benchmarks. GPT-5.6 Terra is made by OpenAI and GPT-5.5 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Terra compare to GPT-5.5 in benchmarks?

GPT-5.6 Terra scores Connectors: 100.0%, HealthBench Consensus: 95.1%, Search and Function-Calling: 94.6%, GPQA: 92.9%, Capture-the-Flag Challenges (Internal): 91.8%. GPT-5.5 scores Tau2 Telecom: 98.0%, ARC-AGI: 95.0%, GPQA: 93.6%, ARC-AGI v2: 85.0%, GDPval-MM: 84.9%.

Is GPT-5.6 Terra cheaper than GPT-5.5?

GPT-5.6 Terra is 2.0x cheaper for input tokens. GPT-5.6 Terra costs $2.50/M input and $15.00/M output via openai. GPT-5.5 costs $5.00/M input and $30.00/M output via openai.

What are the context window sizes for GPT-5.6 Terra and GPT-5.5?

GPT-5.6 Terra supports 1.1M tokens and GPT-5.5 supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Terra and GPT-5.5?

Key differences include input pricing ($2.50 vs $5.00/M). See the full comparison above for benchmark-by-benchmark results.