AI model comparison
Qwen3 235B A22B Thinking 2507 vs GPT-4.1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks.
- Input / 1M
- $0.45
- Output / 1M
- $3.50
- Context
- 128K
OpenAI
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning.
- Input / 1M
- $2
- Output / 1M
- $8
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 235B A22B Thinking 2507
3.0x cheaper for a typical chat
Higher intelligence score
Tie
12.7 vs 12.7 on Artificial Analysis
Larger context window
GPT-4.1
1.05M vs 128K tokens
Newer release
Qwen3 235B A22B Thinking 2507
Released July 25, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3 235B A22B Thinking 250712.7GPT-4.112.7Coding index
Qwen3 235B A22B Thinking 250722.1GPT-4.1Not availableAgentic index
Qwen3 235B A22B Thinking 25071.3GPT-4.1Not availablePricing
Qwen3 235B A22B Thinking 2507 vs GPT-4.1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3 235B A22B Thinking 2507 | GPT-4.1 |
|---|---|---|
| Input tokensPer 1M tokens | $0.45 | $2 |
| Output tokensPer 1M tokens | $3.50 | $8 |
| Cached input (read)Per 1M tokens | Not available | $0.50 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3 235B A22B Thinking 2507$2.65GPT-4.1$8Coding task
30K in, 4K out
Qwen3 235B A22B Thinking 2507$27.50GPT-4.1$92$47 cachedLong document summary
150K in, 2K out
Qwen3 235B A22B Thinking 2507$74.50GPT-4.1$316$91 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3 235B A22B Thinking 2507 | GPT-4.1 |
|---|---|---|
| Context window | 128K tokens | 1.05M tokens |
| Max output | 16K tokens | 33K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 25, 2025 | April 14, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3 235B A22B Thinking 2507 | GPT-4.1 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3 235B A22B Thinking 2507View full model details- Qwen3 235B A22B Thinking 2507 vs Gemini 2.5 Flash
- Qwen3 235B A22B Thinking 2507 vs Mistral Medium 3.5
- Qwen3 235B A22B Thinking 2507 vs Nova 2 Lite
- Qwen3 235B A22B Thinking 2507 vs R1 0528
- Qwen3 235B A22B Thinking 2507 vs Command A
- Qwen3 235B A22B Thinking 2507 vs GLM 4.5
- Qwen3 235B A22B Thinking 2507 vs Kimi K2 0711
- Qwen3 235B A22B Thinking 2507 vs o3 Mini
- Qwen3 235B A22B Thinking 2507 vs Qwen3 235B A22B Instruct 2507
- Qwen3 235B A22B Thinking 2507 vs Qwen3 Coder 480B A35B
- Qwen3 235B A22B Thinking 2507 vs Sonar Reasoning Pro
- Qwen3 235B A22B Thinking 2507 vs o3 Mini High
- Qwen3 235B A22B Thinking 2507 vs Qwen3 VL 235B A22B Instruct
GPT-4.1View full model details- GPT-4.1 vs Gemini 2.5 Pro
- GPT-4.1 vs o4 Mini
- GPT-4.1 vs o1
- GPT-4.1 vs Mistral Medium 3.5
- GPT-4.1 vs Command A
- GPT-4.1 vs o3 Mini
- GPT-4.1 vs o1-pro
- GPT-4.1 vs Sonar Reasoning Pro
- GPT-4.1 vs o3 Mini High
- GPT-4.1 vs Nova Premier 1.0
- GPT-4.1 vs GPT-4o (2024-11-20)
- GPT-4.1 vs GPT-4o (2024-08-06)
- GPT-4.1 vs Sonar Pro
- GPT-4.1 vs GPT-4o (2024-05-13)
- GPT-4.1 vs GPT-4 Turbo
- GPT-4.1 vs GPT-4
Our take
Qwen3 235B A22B Thinking 2507 is 3.0x cheaper for a typical chat. GPT-4.1 has the larger context window (1.05M vs 128K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3 235B A22B Thinking 2507 or GPT-4.1 cheaper?
Qwen3 235B A22B Thinking 2507 is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 235B A22B Thinking 2507 costs $0.45 per 1M input tokens and $3.50 per 1M output tokens, while GPT-4.1 costs $2 per 1M input tokens and $8 per 1M output tokens.
Which has a bigger context window, Qwen3 235B A22B Thinking 2507 or GPT-4.1?
GPT-4.1 supports up to 1.05M tokens of context, compared with 128K for Qwen3 235B A22B Thinking 2507.
Is Qwen3 235B A22B Thinking 2507 smarter than GPT-4.1?
On the Artificial Analysis Intelligence Index, Qwen3 235B A22B Thinking 2507 scores 12.7 and GPT-4.1 scores 12.7, putting Qwen3 235B A22B Thinking 2507 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3 235B A22B Thinking 2507 and GPT-4.1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 235B A22B Thinking 2507 and GPT-4.1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 235B A22B Thinking 2507 and GPT-4.1 at the same time. Compare the answers side by side and keep the best one.