GPT-6.1 Sol Pro vs Qwen3.8 Omni Flash
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 23, 2026· 222 models
GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- ▲09/29/2026
- Knowledge cutoff
- —
- API id
- openai/gpt-6.1-sol-pro
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 Sol Pro vs Qwen3.8 Omni Flash?
- Qwen3.8 Omni Flash: cheapest input (93% less than GPT-6.1 Sol Pro)
- Qwen3.8 Omni Flash: cheapest output
- GPT-6.1 Sol Pro: largest context (1.1 M)
- GPT-6.1 Sol Pro: the newest (09/29/2026)
- GPT-6.1 Sol Pro: most reasoning (estimated)
- Qwen3.8 Omni Flash: the fastest (estimated)
Qwen3.8 Omni Flash costs 93% less on input and 95% less on output than GPT-6.1 Sol Pro ($0.150 / $0.470 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol Pro accepts more context (1.1 M). On capabilities, only Qwen3.8 Omni Flash accepts audio. GPT-6.1 Sol Pro 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 $65.87 a month versus GPT-6.1 Sol Pro (94% 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
- 4Ministral 3 3B 2512 Mistral$1.90
- 5Qwen3.5-Flash Qwen$2.02
- 6DeepSeek V4 Flash 0423 DeepSeek$2.09
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 Sol Pro OpenAI$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Sonnet 5 Anthropic$0.152
- 6Claude Opus 5.5 Anthropic$0.304
- 7Claude Opus 5 Anthropic$0.380
- 8Claude Fable 5.1 Anthropic$0.760
Popular comparisons
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- GPT-6.1 Sol Pro vs Grok 4.7
- Gemini 4 Argon vs DeepSeek V4.1 Flash 1017
- Gemini 4 Argon vs Grok 4.7
- DeepSeek V4.1 Flash 1017 vs Grok 4.7
Frequently asked questions
Which is the better API choice: GPT-6.1 Sol Pro vs Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash costs 93% less on input and 95% less on output than GPT-6.1 Sol Pro ($0.150 / $0.470 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol Pro accepts more context (1.1 M). On capabilities, only Qwen3.8 Omni Flash accepts audio. GPT-6.1 Sol Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Sol Pro 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 $2.00 / $10.00 for GPT-6.1 Sol Pro.
Which has more context: GPT-6.1 Sol Pro and Qwen3.8 Omni Flash?
GPT-6.1 Sol Pro accepts 1.1 M tokens of context; Qwen3.8 Omni Flash accepts 1 M.
Which is newer: GPT-6.1 Sol Pro and Qwen3.8 Omni Flash?
GPT-6.1 Sol Pro was released on 09/29/2026; Qwen3.8 Omni Flash on 09/17/2026.
What would 10,000 requests a month cost with GPT-6.1 Sol Pro and Qwen3.8 Omni Flash?
With 1,500 input and 400 output tokens per request: GPT-6.1 Sol Pro: $70.00; 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.