GPT-6.1 Sol vs Qwen3.6 35B A3B

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

OpenAIGPT-6.1 Sol

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.

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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
Qwen35B A3B

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.

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Reasoning estimated
Speed estimated
Input
Output
Context
262 K tokens
Max output
▲236 K
Input, $ per 1M tokens
▲$0.150
Output, $ per 1M tokens
▲$1.00
Cache read, $ per 1M
$0.050
Batch (input / output)
—
Tool calling
Yes
Released
04/17/2026
Knowledge cutoff
—
API id
qwen/qwen3.6-35b-a3b
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: GPT-6.1 Sol vs Qwen3.6 35B A3B?

  • Qwen3.6 35B A3B: cheapest input (93% less than GPT-6.1 Sol)
  • Qwen3.6 35B A3B: cheapest output
  • GPT-6.1 Sol: largest context (1.1 M)
  • GPT-6.1 Sol: the newest (09/29/2026)

Qwen3.6 35B A3B costs 93% less on input and 90% less on output than GPT-6.1 Sol ($0.150 / $1.00 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). 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.

GPT-6.1 Sol
$70.00/mo
Qwen3.6 35B A3B
$6.25/mo

With Qwen3.6 35B A3B you save $63.75 a month versus GPT-6.1 Sol (91% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 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.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Qwen3.6 35B A3B Qwen$0.011
  2. 2GPT-6.1 Sol OpenAI$0.152
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: GPT-6.1 Sol vs Qwen3.6 35B A3B?

Qwen3.6 35B A3B costs 93% less on input and 90% less on output than GPT-6.1 Sol ($0.150 / $1.00 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). 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 Qwen3.6 35B A3B?

Qwen3.6 35B A3B is cheaper: $0.150 per million input tokens and $1.00 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.

Which has more context: GPT-6.1 Sol and Qwen3.6 35B A3B?

GPT-6.1 Sol accepts 1.1 M tokens of context; Qwen3.6 35B A3B accepts 262 K.

Which is newer: GPT-6.1 Sol and Qwen3.6 35B A3B?

GPT-6.1 Sol was released on 09/29/2026; Qwen3.6 35B A3B on 04/17/2026.

What would 10,000 requests a month cost with GPT-6.1 Sol and Qwen3.6 35B A3B?

With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Qwen3.6 35B A3B: $6.25 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.