GPT-6.1 Sol vs Qwen-Plus
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
- 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
- 2026-04-30
- API id
- openai/gpt-6.1-sol
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.260
- Output, $ per 1M tokens
- ▲$0.780
- Cache read, $ per 1M
- $0.052
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 01/25/2024
- Knowledge cutoff
- 2024-04
- API id
- qwen/qwen-plus
Which is the better API choice: GPT-6.1 Sol vs Qwen-Plus?
- Qwen-Plus: cheapest input (87% less than GPT-6.1 Sol)
- Qwen-Plus: cheapest output
- GPT-6.1 Sol: largest context (1.1 M)
- GPT-6.1 Sol: the newest (09/29/2026)
Qwen-Plus costs 87% less on input and 92% less on output than GPT-6.1 Sol ($0.260 / $0.780 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, GPT-6.1 Sol accepts images. GPT-6.1 Sol 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 Qwen-Plus you save $62.98 a month versus GPT-6.1 Sol (90% 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 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
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)
- 1Qwen-Plus Qwen$0.020
- 2GPT-6.1 Sol OpenAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
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- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: GPT-6.1 Sol vs Qwen-Plus?
Qwen-Plus costs 87% less on input and 92% less on output than GPT-6.1 Sol ($0.260 / $0.780 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, GPT-6.1 Sol accepts images. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Sol and Qwen-Plus?
Qwen-Plus is cheaper: $0.260 per million input tokens and $0.780 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: GPT-6.1 Sol and Qwen-Plus?
GPT-6.1 Sol accepts 1.1 M tokens of context; Qwen-Plus accepts 1 M.
Which is newer: GPT-6.1 Sol and Qwen-Plus?
GPT-6.1 Sol was released on 09/29/2026; Qwen-Plus on 01/25/2024.
What would 10,000 requests a month cost with GPT-6.1 Sol and Qwen-Plus?
With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Qwen-Plus: $7.02 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.