GPT-5.4 vs Qwen3 235B A22B Thinking 2507
| Signal | GPT-5.4 | Delta | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 90 | +26 | |
Pricing | 85 | -11 | |
Context window size | 96 | +15 | |
Recency | 88 | +41 | |
Output Capacity | 82 | +14 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
91.9
current score
GPT-5.4
right now
64.7
current score
GPT-5.4
OpenAI
Qwen3 235B A22B Thinking 2507
Alibaba
Qwen3 235B A22B Thinking 2507 saves you $780.00/month
That's $9360.00/year compared to GPT-5.4 at your current usage level of 100K calls/month.
| Metric | GPT-5.4 | Qwen3 235B A22B Thinking 2507 | Winner |
|---|---|---|---|
| Overall Score | 92 | 65 | GPT-5.4 |
| Rank | #17 | #149 | GPT-5.4 |
| Quality Rank | #17 | #149 | GPT-5.4 |
| Adoption Rank | #17 | #149 | GPT-5.4 |
| Parameters | -- | 235B | -- |
| Context Window | 1050K | 128K | GPT-5.4 |
| Pricing | $2.50/$15.00/M | $0.45/$3.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5.4 |
| Benchmarks | 90 | 64 | GPT-5.4 |
| Pricing | 85 | 97 | Qwen3 235B A22B Thinking 2507 |
| Context window size | 96 | 81 | GPT-5.4 |
| Recency | 88 | 47 | GPT-5.4 |
| Output Capacity | 82 | 67 | GPT-5.4 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 92/100 (rank #17), placing it in the top 94% of all 290 models tracked.
Scores 65/100 (rank #149), placing it in the top 49% of all 290 models tracked.
GPT-5.4 has a 27-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.4 when you need:
- Processing long documents or large codebases (1050K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3 235B A22B Thinking 2507 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Qwen3 235B A22B Thinking 2507 offers 77% better value per quality point. At 1M tokens/day, you'd spend $59.25/month with Qwen3 235B A22B Thinking 2507 vs $262.50/month with GPT-5.4 - a $203.25 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Qwen3 235B A22B Thinking 2507 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($3.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.4 clearly outperforms Qwen3 235B A22B Thinking 2507 with a significant 27.200000000000003-point lead. For most general use cases, GPT-5.4 is the stronger choice. However, Qwen3 235B A22B Thinking 2507 may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.4
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 235B A22B Thinking 2507
77% lower pricing; better value at scale
Best for Reliability
GPT-5.4
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4
Stronger community support and better developer experience
Best for Production
GPT-5.4
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-5.4 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.4
OpenAI
Qwen3 235B A22B Thinking 2507
Alibaba
Qwen3 235B A22B Thinking 2507 saves you $17.49/month
That's 78% cheaper than GPT-5.4 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.4 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Context Window | 1.1M | 128K |
| Max Output Tokens | 128,000 | 16,384 |
| Open Source | No | Yes |
| Created | Mar 5, 2026 | Jul 25, 2025 |