GPT-6.1 Terra vs Qwen3.6 Max Preview
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- ▲$1.00
- Output, $ per 1M tokens
- ▲$5.00
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- $0.500 / $2.50
- Tool calling
- Yes
- Released
- ▲10/26/2026
- Knowledge cutoff
- 2026-06-01
- API id
- openai/gpt-6.1-terra
Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- $1.03
- Output, $ per 1M tokens
- $6.16
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/20/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.6-max-preview
Which is the better API choice: GPT-6.1 Terra vs Qwen3.6 Max Preview?
- GPT-6.1 Terra: cheapest input (3% less than Qwen3.6 Max Preview)
- GPT-6.1 Terra: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
GPT-6.1 Terra costs 3% less on input and 19% less on output than Qwen3.6 Max Preview ($1.00 / $5.00 versus $1.03 / $6.16 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra accepts images. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With GPT-6.1 Terra you save $5.05 a month versus Qwen3.6 Max Preview (13% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
- 6Ministral 3 3B 2512 Mistral$1.90
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2GPT-6.1 Terra OpenAI$0.076
- 3Qwen3.6 Max Preview Qwen$0.078
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: GPT-6.1 Terra vs Qwen3.6 Max Preview?
GPT-6.1 Terra costs 3% less on input and 19% less on output than Qwen3.6 Max Preview ($1.00 / $5.00 versus $1.03 / $6.16 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra accepts images. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Terra and Qwen3.6 Max Preview?
GPT-6.1 Terra is cheaper: $1.00 per million input tokens and $5.00 per million output tokens, versus $1.03 / $6.16 for Qwen3.6 Max Preview.
Which has more context: GPT-6.1 Terra and Qwen3.6 Max Preview?
GPT-6.1 Terra accepts 1.1 M tokens of context; Qwen3.6 Max Preview accepts 262 K.
Which is newer: GPT-6.1 Terra and Qwen3.6 Max Preview?
GPT-6.1 Terra was released on 10/26/2026; Qwen3.6 Max Preview on 04/20/2026.
What would 10,000 requests a month cost with GPT-6.1 Terra and Qwen3.6 Max Preview?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Qwen3.6 Max Preview: $40.05 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.