GPT-6.1 Terra vs Qwen3.8 Omni Flash
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 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- ▲$0.150
- Output, $ per 1M tokens
- ▲$0.470
- Cache read, $ per 1M
- $0.016
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 09/17/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-omni-flash
Which is the better API choice: GPT-6.1 Terra vs Qwen3.8 Omni Flash?
- Qwen3.8 Omni Flash: cheapest input (85% less than GPT-6.1 Terra)
- Qwen3.8 Omni Flash: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
- GPT-6.1 Terra: most reasoning (estimated)
- Qwen3.8 Omni Flash: the fastest (estimated)
Qwen3.8 Omni Flash costs 85% less on input and 91% less on output than GPT-6.1 Terra ($0.150 / $0.470 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, only Qwen3.8 Omni Flash accepts audio. 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 Qwen3.8 Omni Flash you save $30.87 a month versus GPT-6.1 Terra (88% 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 Omni Flash 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 Omni Flash?
Qwen3.8 Omni Flash costs 85% less on input and 91% less on output than GPT-6.1 Terra ($0.150 / $0.470 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, only Qwen3.8 Omni Flash accepts audio. 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 Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash is cheaper: $0.150 per million input tokens and $0.470 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 Omni Flash?
GPT-6.1 Terra accepts 1.1 M tokens of context; Qwen3.8 Omni Flash accepts 1 M.
Which is newer: GPT-6.1 Terra and Qwen3.8 Omni Flash?
GPT-6.1 Terra was released on 10/26/2026; Qwen3.8 Omni Flash on 09/17/2026.
What would 10,000 requests a month cost with GPT-6.1 Terra and Qwen3.8 Omni Flash?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Qwen3.8 Omni Flash: $4.13 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.