GPT-5.6 Terra Pro vs Qwen3 235B A22B Thinking 2507
| Signal | GPT-5.6 Terra Pro | Delta | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 88 | +23 | |
Pricing | 94 | -4 | |
Context window size | 96 | +10 | |
Recency | 100 | +36 | |
Output Capacity | 85 | +65 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
89
current score
GPT-5.6 Terra Pro
right now
65.5
current score
GPT-5.6 Terra Pro
OpenAI
Qwen3 235B A22B Thinking 2507
Alibaba
Qwen3 235B A22B Thinking 2507 saves you $262.00/month
That's $3144.00/year compared to GPT-5.6 Terra Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.6 Terra Pro | Qwen3 235B A22B Thinking 2507 | Winner |
|---|---|---|---|
| Overall Score | 89 | 66 | GPT-5.6 Terra Pro |
| Rank | #36 | #189 | GPT-5.6 Terra Pro |
| Quality Rank | #36 | #189 | GPT-5.6 Terra Pro |
| Adoption Rank | #36 | #189 | GPT-5.6 Terra Pro |
| Parameters | -- | 235B | -- |
| Context Window | 1050K | 262K | GPT-5.6 Terra Pro |
| Pricing | $1.00/$6.00/M | $0.23/$2.30/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.6 Terra Pro |
| Benchmarks | 88 | 64 | GPT-5.6 Terra Pro |
| Pricing | 94 | 98 | Qwen3 235B A22B Thinking 2507 |
| Context window size | 96 | 86 | GPT-5.6 Terra Pro |
| Recency | 100 | 64 | GPT-5.6 Terra Pro |
| Output Capacity | 85 | 20 | GPT-5.6 Terra Pro |
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 89/100 (rank #36), placing it in the top 88% of all 290 models tracked.
Scores 66/100 (rank #189), placing it in the top 35% of all 290 models tracked.
GPT-5.6 Terra Pro has a 24-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.6 Terra Pro 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 64% better value per quality point. At 1M tokens/day, you'd spend $37.95/month with Qwen3 235B A22B Thinking 2507 vs $105.00/month with GPT-5.6 Terra Pro - a $67.05 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 ($2.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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-5.6 Terra Pro clearly outperforms Qwen3 235B A22B Thinking 2507 with a significant 23.5-point lead. For most general use cases, GPT-5.6 Terra Pro is the stronger choice. However, Qwen3 235B A22B Thinking 2507 may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.6 Terra Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 235B A22B Thinking 2507
64% lower pricing; better value at scale
Best for Reliability
GPT-5.6 Terra Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.6 Terra Pro
Stronger community support and better developer experience
Best for Production
GPT-5.6 Terra Pro
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-5.6 Terra Pro | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.6 Terra Pro
OpenAI
Qwen3 235B A22B Thinking 2507
Alibaba
Qwen3 235B A22B Thinking 2507 saves you $5.83/month
That's 65% cheaper than GPT-5.6 Terra Pro 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-5.6 Terra Pro | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Context Window | 1.1M | 262K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Jul 9, 2026 | Jul 25, 2025 |