Model comparison

GPT-4.1 vs Qwen3 235B A22B Thinking 2507

OpenAI's GPT-4.1 against Qwen's Qwen3 235B A22B Thinking 2507: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.

CheaperQwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 lists at $1.21 per million tokens blended against $3.50 for GPT-4.1 - 2.9x less.

Intelligence: levelEven

Intelligence index 13 against 13: within a point of each other.

Longer contextGPT-4.1

GPT-4.1 reads 1.0M tokens at once, Qwen3 235B A22B Thinking 2507 128k.

Abilities differEven

only GPT-4.1 offers structured output, image input; only Qwen3 235B A22B Thinking 2507 offers reasoning, open weights.

NewerQwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 was released about 3 months later.

Side by side

Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).

Specification	GPT-4.1	Qwen3 235B A22B Thinking 2507
Input price / 1M tokens	$2.00	$0.45
Output price / 1M tokens	$8.00	$3.50
Blended (3 in : 1 out)	$3.50	$1.21
Cached input / 1M	$0.50	-
Context window	1.0M	128K
Max output	33K	16K
Input	image, text, file	text
Output	text	text
Tool calls
Structured output
Reasoning
Open weights
Intelligence index	13	13
Coding index	-	22
Agentic index	-	1
Released	Apr 14, 2025	Jul 25, 2025
Available on this deployment

What a month costs

List price times tokens for three typical workloads; your mix of input and output decides which model's pricing suits you.

Workload	GPT-4.1	Qwen3 235B A22B Thinking 2507	Difference
Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations.	$80.00	$26.50	$53.50 less on Qwen3 235B A22B Thinking 2507
Document summaries100M in, 5M out - long inputs, short answers.	$240	$62.50	$178 less on Qwen3 235B A22B Thinking 2507
Coding assistant60M in, 20M out - a team's editor assistant, output-heavy.	$280	$97.00	$183 less on Qwen3 235B A22B Thinking 2507

What the router does with the pair

The two measure the same on the intelligence index, so the router treats them as peers and lets price, observed latency and your outcomes decide: Qwen3 235B A22B Thinking 2507 wins on cost, and a few bad outcomes on either move the next requests to the other.

Price a request Playground

yaml

# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
  - { id: qwen3-235b-a22b-thinking-2507, kind: llm, metadata: { model: qwen/qwen3-235b-a22b-thinking-2507 } }
  - { id: gpt-4.1, kind: llm, metadata: { model: openai/gpt-4.1 } }

# rules.yaml - the cheaper model by default, the stronger one when the request is hard
rules:
  - name: simple-requests-stay-cheap
    when: { max_complexity: 0.45 }
    prefer: [qwen3-235b-a22b-thinking-2507]
    weight: 0.8
  - name: hard-requests-escalate
    when: { min_complexity: 0.45 }
    prefer: [gpt-4.1]
    weight: 0.8

Frequently asked

Is GPT-4.1 cheaper than Qwen3 235B A22B Thinking 2507?: No. GPT-4.1 lists at $2.00 in / $8.00 out per million tokens, Qwen3 235B A22B Thinking 2507 at $0.45 in / $3.50 out; blended, Qwen3 235B A22B Thinking 2507 is the cheaper one.
Which is better, GPT-4.1 or Qwen3 235B A22B Thinking 2507?: The two measure the same on the intelligence index, so the task, the price and the abilities decide.
Which has the longer context window?: GPT-4.1 - 1.0M tokens against 128K.
Can I use GPT-4.1 and Qwen3 235B A22B Thinking 2507 together?: Yes. Declare both as targets and OpenSmartRoute picks one per request on quality for the task, price and your rules - the cheaper model for the requests it can answer, the stronger one for the rest - and records why in the trace.

Also compared

Every OpenAI and Qwen model, with prices, is on the vendor pages; the rankings show what the router actually picks.

For the business

What it means for which models you pay for.

Catalogue of every vendor
The right model, not the famous one
Price, context, abilities and benchmark indexes side by side, with the model that fits each task named.
The rankings
89% less
Lower cost per request
On the 150-prompt benchmark the router spent 89% less than sending every prompt to the reference model, and the judged quality went up, not down.
Read the benchmark
Per million tokens, every model
Prices you can compare
The catalogue prints input and output prices and what three typical monthly workloads cost on each.
The model catalogue

Which LLM is the cheapest for our workload?: The best-for pages rank the live catalogue per task by the index that measures it, and the router picks the cheapest model that meets your quality rule for each request.
How much can we save on our LLM bill?: On the public benchmark the router saved 89% against sending everything to the reference model. Import last month's provider bill on the bill page and the estimate is computed on your own traffic before you change a line of code.
How often do model prices change?: The catalogue is refreshed from the vendors' price lists; each model page shows the date of its data.

Stop choosing between GPT-4.1 and Qwen3 235B A22B Thinking 2507. Route to both.

Declare the pair as targets and OpenSmartRoute picks per request - the cheaper one where it holds up, the stronger one where it matters - with the comparison in every trace.

Create a free account Try a request

Free plan, no card. Fifteen thousand decisions a month with the full trace.

Specification

GPT-4.1

Qwen3 235B A22B Thinking 2507

Input price / 1M tokens

$2.00

$0.45

Output price / 1M tokens

$8.00

$3.50

Blended (3 in : 1 out)

$3.50

$1.21

Cached input / 1M

$0.50

Context window

1.0M

128K

Max output

33K

16K

Input

image, text, file

text

Output

text

Tool calls

Structured output

Reasoning

Open weights

Intelligence index

Coding index

Agentic index

Released

Apr 14, 2025

Jul 25, 2025

Available on this deployment

Workload

GPT-4.1

Qwen3 235B A22B Thinking 2507

Difference

Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations.

$80.00

$26.50

$53.50 less on Qwen3 235B A22B Thinking 2507

Document summaries100M in, 5M out - long inputs, short answers.

$240

$62.50

$178 less on Qwen3 235B A22B Thinking 2507

Coding assistant60M in, 20M out - a team's editor assistant, output-heavy.

$280

$97.00

$183 less on Qwen3 235B A22B Thinking 2507

# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry) targets: - { id: qwen3-235b-a22b-thinking-2507, kind: llm, metadata: { model: qwen/qwen3-235b-a22b-thinking-2507 } } - { id: gpt-4.1, kind: llm, metadata: { model: openai/gpt-4.1 } } # rules.yaml - the cheaper model by default, the stronger one when the request is hard rules: - name: simple-requests-stay-cheap when: { max_complexity: 0.45 } prefer: [qwen3-235b-a22b-thinking-2507] weight: 0.8 - name: hard-requests-escalate when: { min_complexity: 0.45 } prefer: [gpt-4.1] weight: 0.8

Frequently asked

Is GPT-4.1 cheaper than Qwen3 235B A22B Thinking 2507?

No. GPT-4.1 lists at $2.00 in / $8.00 out per million tokens, Qwen3 235B A22B Thinking 2507 at $0.45 in / $3.50 out; blended, Qwen3 235B A22B Thinking 2507 is the cheaper one.

Which is better, GPT-4.1 or Qwen3 235B A22B Thinking 2507?

The two measure the same on the intelligence index, so the task, the price and the abilities decide.

Which has the longer context window?

GPT-4.1 - 1.0M tokens against 128K.

Can I use GPT-4.1 and Qwen3 235B A22B Thinking 2507 together?

Yes. Declare both as targets and OpenSmartRoute picks one per request on quality for the task, price and your rules - the cheaper model for the requests it can answer, the stronger one for the rest - and records why in the trace.

GPT-4.1 vs Qwen3 235B A22B Thinking 2507

Side by side

What a month costs

What the router does with the pair

Frequently asked

Also compared

What it means for which models you pay for.

The right model, not the famous one

Lower cost per request

Prices you can compare

Stop choosing between GPT-4.1 and Qwen3 235B A22B Thinking 2507. Route to both.

GPT-4.1 vs Qwen3 235B A22B Thinking 2507

Side by side

What a month costs

What the router does with the pair

Frequently asked

Also compared

What it means for which models you pay for.

The right model, not the famous one

Lower cost per request

Prices you can compare

Stop choosing between GPT-4.1 and Qwen3 235B A22B Thinking 2507. Route to both.