GPT-6.1 Terra vs Qwen3.8 27B
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
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- ▲$0.150
- Output, $ per 1M tokens
- ▲$1.88
- Cache read, $ per 1M
- $0.038
- Batch (input / output)
- $0.160 / $2.00
- Tool calling
- Yes
- Released
- 08/14/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-27b
Which is the better API choice: GPT-6.1 Terra vs Qwen3.8 27B?
- Qwen3.8 27B: cheapest input (85% less than GPT-6.1 Terra)
- Qwen3.8 27B: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
Qwen3.8 27B costs 85% less on input and 63% less on output than GPT-6.1 Terra ($0.150 / $1.88 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). GPT-6.1 Terra and Qwen3.8 27B offer 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 Qwen3.8 27B you save $25.25 a month versus GPT-6.1 Terra (72% 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
- 2Qwen3.8 27B Qwen$0.011
- 3GPT-6.1 Terra OpenAI$0.076
- 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 Qwen3.8 27B?
Qwen3.8 27B costs 85% less on input and 63% less on output than GPT-6.1 Terra ($0.150 / $1.88 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). GPT-6.1 Terra and Qwen3.8 27B offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Terra and Qwen3.8 27B?
Qwen3.8 27B is cheaper: $0.150 per million input tokens and $1.88 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: GPT-6.1 Terra and Qwen3.8 27B?
GPT-6.1 Terra accepts 1.1 M tokens of context; Qwen3.8 27B accepts 1 M.
Which is newer: GPT-6.1 Terra and Qwen3.8 27B?
GPT-6.1 Terra was released on 10/26/2026; Qwen3.8 27B on 08/14/2026.
What would 10,000 requests a month cost with GPT-6.1 Terra and Qwen3.8 27B?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Qwen3.8 27B: $9.75 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.