Claude 3.5 Haiku vs GPT-6.1 Terra
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 4.6. Claude 3.5 Haiku is 1.3x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 4.6, ranking #36 overall.
On price, Claude 3.5 Haiku is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 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 3.5 Haiku
- cost matters — it's about 1.3x cheaper per token
Choose GPT-6.1 Terra
- overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Claude 3.5 Haiku · 8 for GPT-6.1 Terra
Claude 3.5 Haiku and GPT-6.1 Terradon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 1.3x cheaper than GPT-6.1 Terra ($1.00/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 1.3x cheaper than GPT-6.1 Terra ($5.00/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Claude 3.5 Haiku.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Terra accepts 1,050,000 input tokens compared to Claude 3.5 Haiku's 200,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Claude 3.5 Haiku does not.
GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
GPT-6.1 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 3.5 Haiku was released on 2024-10-22, while GPT-6.1 Terra was released on 2026-10-26.
GPT-6.1 Terra is 24 months newer than Claude 3.5 Haiku.
Oct 22, 2024
2.0 years ago
Oct 26, 2026
3 days ago
2.0yr newerKnowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Claude 3.5 Haiku's cutoff date is not specified.
We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without Claude 3.5 Haiku's cutoff date.
—
Jun 2026
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. GPT-6.1 Terra is available from OpenAI.
Claude 3.5 Haiku
GPT-6.1 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and GPT-6.1 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs GPT-6.1 Terra.