GPT-6.1 Sol vs Qwen3 VL 30B A3B Instruct

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
QwenA3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos.

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Reasoning estimated
Speed estimated
Input
Output
Context
262 K tokens
Max output
16 K
Input, $ per 1M tokens
▲$0.150
Output, $ per 1M tokens
▲$0.600
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
10/02/2025
Knowledge cutoff
—
API id
qwen/qwen3-vl-30b-a3b-instruct
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 VL 30B A3B Instruct?

  • Qwen3 VL 30B A3B Instruct: cheapest input (93% less than GPT-6.1 Sol)
  • Qwen3 VL 30B A3B 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)

Qwen3 VL 30B A3B Instruct costs 93% less on input and 94% less on output than GPT-6.1 Sol ($0.150 / $0.600 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, 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.

GPT-6.1 Sol
$70.00/mo
Qwen3 VL 30B A3B Instruct
$4.65/mo

With Qwen3 VL 30B A3B Instruct you save $65.35 a month versus GPT-6.1 Sol (93% less).

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

  1. 1Lyria 3 Pro Preview Google$0.00
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  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 VL 30B A3B Instruct 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 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct costs 93% less on input and 94% less on output than GPT-6.1 Sol ($0.150 / $0.600 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, 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 Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is cheaper: $0.150 per million input tokens and $0.600 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.

Which has more context: GPT-6.1 Sol and Qwen3 VL 30B A3B Instruct?

GPT-6.1 Sol accepts 1.1 M tokens of context; Qwen3 VL 30B A3B Instruct accepts 262 K.

Which is newer: GPT-6.1 Sol and Qwen3 VL 30B A3B Instruct?

GPT-6.1 Sol was released on 09/29/2026; Qwen3 VL 30B A3B Instruct on 10/02/2025.

What would 10,000 requests a month cost with GPT-6.1 Sol and Qwen3 VL 30B A3B Instruct?

With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Qwen3 VL 30B A3B Instruct: $4.65 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.