Claude Haiku 5.5 vs GPT-5.6 Terra
Claude Haiku 5.5 and GPT-5.6 Terra are closely matched at 50.0 and 49.4 on the LLM Stats Score. Claude Haiku 5.5 is 22.5x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
Claude Haiku 5.5 and GPT-5.6 Terra are closely matched on the overall LLM Stats Score at 50.0 and 49.4.
In the 7 individual benchmarks reported for both models, Claude Haiku 5.5 wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, Claude Haiku 5.5 is roughly 22.5x 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 Haiku 5.5
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
- cost matters — it's about 22.5x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose GPT-5.6 Terra
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
36 reported for Claude Haiku 5.5 · 45 for GPT-5.6 Terra
Claude Haiku 5.5 outperforms in 7 benchmarks (BenchCAD, BenchCAD (with Python tool), FrontierCode 1.1, HealthBench, HealthBench Professional, SWE-Bench Pro, Terminal-Bench 4.0), while GPT-5.6 Terra is better at 0 benchmarks.
Claude Haiku 5.5 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 Haiku 5.5 ($0.10/1M tokens) is 20.0x cheaper than GPT-5.6 Terra ($2.00/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 24.0x cheaper than GPT-5.6 Terra ($12.00/1M tokens).
In conclusion, GPT-5.6 Terra is more expensive than Claude Haiku 5.5.*
* 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 Haiku 5.5'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 Haiku 5.5 and GPT-5.6 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
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 Haiku 5.5 was released on 2026-10-07, while GPT-5.6 Terra was released on 2026-07-09.
Claude Haiku 5.5 is 3 months newer than GPT-5.6 Terra.
Oct 7, 2026
1 days ago
3mo newerJul 9, 2026
3 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while GPT-5.6 Terra has a cutoff of 2026-02-16.
Claude Haiku 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to GPT-5.6 Terra (2026-02-16).
Jun 2026
4 mo newerFeb 2026
Provider Availability
Claude Haiku 5.5 is available from Anthropic. GPT-5.6 Terra is available from OpenAI.
Claude Haiku 5.5
GPT-5.6 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs GPT-5.6 Terra.