GPT-6.1 Sol vs Qwen2.5 72B Instruct
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
Qwen2.5 72B is the latest series of Qwen large language models.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 33 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.360
- Output, $ per 1M tokens
- ▲$0.400
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 09/19/2024
- Knowledge cutoff
- —
- API id
- qwen/qwen-2.5-72b-instruct
Which is the better API choice: GPT-6.1 Sol vs Qwen2.5 72B Instruct?
- Qwen2.5 72B Instruct: cheapest input (82% less than GPT-6.1 Sol)
- Qwen2.5 72B Instruct: cheapest output
- GPT-6.1 Sol: largest context (1.1 M)
- GPT-6.1 Sol: the newest (09/29/2026)
- GPT-6.1 Sol: most reasoning (estimated)
Qwen2.5 72B Instruct costs 82% less on input and 96% less on output than GPT-6.1 Sol ($0.360 / $0.400 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 has a reasoning mode. 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 Qwen2.5 72B Instruct you save $63.00 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)
- 1Qwen2.5 72B Instruct Qwen$0.027
- 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
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- Claude Sonnet 5.5 vs DeepSeek V4.1 Flash
- Claude Sonnet 5.5 vs Grok 4.7
- 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 Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct costs 82% less on input and 96% less on output than GPT-6.1 Sol ($0.360 / $0.400 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 has a reasoning mode. 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 Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is cheaper: $0.360 per million input tokens and $0.400 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: GPT-6.1 Sol and Qwen2.5 72B Instruct?
GPT-6.1 Sol accepts 1.1 M tokens of context; Qwen2.5 72B Instruct accepts 33 K.
Which is newer: GPT-6.1 Sol and Qwen2.5 72B Instruct?
GPT-6.1 Sol was released on 09/29/2026; Qwen2.5 72B Instruct on 09/19/2024.
What would 10,000 requests a month cost with GPT-6.1 Sol and Qwen2.5 72B Instruct?
With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Qwen2.5 72B Instruct: $7.00 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.