Standard Compute
Model comparison 2026

Claude Haiku 5.5 vs GPT-5.6 Terra

Claude Haiku 5.5
Anthropic · Budget · Proprietary
$0.22/1M · 1M ctx
GPT-5.6 Terra
OpenAI · Balanced · Proprietary
$5.00/1M · 1.1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Haiku 5.5
GPT-5.6 Terra
Maker
Anthropic
OpenAI
Blended price / 1M
$0.22
$5.00
Input / output
$0.10 in · $0.50 out / 1M tokens
$2.00 in · $12 out / 1M tokens
Context window
1M
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.1
9.0
Agentic Ability
9.0
9.0
Speed
9.6
8.4
Value for money
9.4
8.8
Reliability
9.3
9.2

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Haiku 5.5 or GPT-5.6 Terra?

Updated 2026-10-13

Choose Claude Haiku 5.5 if you want subagents, routing and high-volume steps that stay under 100K tokens per request. Choose GPT-5.6 Terra if you want the everyday OpenAI default for agents — volume work with frontier-adjacent quality.

In our editorial scoring, Claude Haiku 5.5 leads in 4 of five dimensions (output quality, speed, value for money and reliability), while GPT-5.6 Terra leads in 0. On price, Claude Haiku 5.5 runs about $0.22 per 1M tokens (blended) and is proprietary; GPT-5.6 Terra is about $5.00 and proprietary.

Where Haiku 5.5 falls short
  • Prompts over 100K tokens cost 5x, on the whole request
  • New tokenizer counts about 30% more tokens than Haiku 4.5 for the same text
Full Haiku 5.5 breakdown →
Where GPT-5.6 Terra falls short
  • Steps behind Sol on the hardest tasks
  • GPT-6.1 Sol now costs about the same ($2/$10) and scores far higher
Full GPT-5.6 Terra breakdown →

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