GPT-5.6 Terra Pro (batch) vs Qwen3.5 397B A17B
| Signal | GPT-5.6 Terra Pro (batch) | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 88 | +7 | |
Pricing | 94 | -4 | |
Context window size | 96 | +10 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
89
current score
GPT-5.6 Terra Pro (batch)
right now
79.4
current score
GPT-5.6 Terra Pro (batch)
OpenAI
Qwen3.5 397B A17B
Alibaba
Qwen3.5 397B A17B saves you $244.00/month
That's $2928.00/year compared to GPT-5.6 Terra Pro (batch) at your current usage level of 100K calls/month.
| Metric | GPT-5.6 Terra Pro (batch) | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 89 | 79 | GPT-5.6 Terra Pro (batch) |
| Rank | #37 | #89 | GPT-5.6 Terra Pro (batch) |
| Quality Rank | #37 | #89 | GPT-5.6 Terra Pro (batch) |
| Adoption Rank | #37 | #89 | GPT-5.6 Terra Pro (batch) |
| Parameters | -- | 397B | -- |
| Context Window | 1050K | 262K | GPT-5.6 Terra Pro (batch) |
| Pricing | $1.00/$6.00/M | $0.39/$2.34/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.6 Terra Pro (batch) |
| Benchmarks | 88 | 80 | GPT-5.6 Terra Pro (batch) |
| Pricing | 94 | 98 | Qwen3.5 397B A17B |
| Context window size | 96 | 86 | GPT-5.6 Terra Pro (batch) |
| Recency | 100 | 100 | GPT-5.6 Terra Pro (batch) |
| Output Capacity | 85 | 80 | GPT-5.6 Terra Pro (batch) |
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 #37), placing it in the top 88% of all 290 models tracked.
Scores 79/100 (rank #89), placing it in the top 70% of all 290 models tracked.
GPT-5.6 Terra Pro (batch) has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.6 Terra Pro (batch) when you need:
- Processing long documents or large codebases (1050K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.5 397B A17B 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
Qwen3.5 397B A17B offers 61% better value per quality point. At 1M tokens/day, you'd spend $40.95/month with Qwen3.5 397B A17B vs $105.00/month with GPT-5.6 Terra Pro (batch) - a $64.05 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. Qwen3.5 397B A17B 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 ($2.34/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 (batch) has a moderate advantage with a 9.599999999999994-point lead in composite score. It wins on more signal dimensions, but Qwen3.5 397B A17B has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
GPT-5.6 Terra Pro (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 397B A17B
61% lower pricing; better value at scale
Best for Reliability
GPT-5.6 Terra Pro (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.6 Terra Pro (batch)
Stronger community support and better developer experience
Best for Production
GPT-5.6 Terra Pro (batch)
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 (batch) | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.6 Terra Pro (batch)
OpenAI
Qwen3.5 397B A17B
Alibaba
Qwen3.5 397B A17B saves you $5.49/month
That's 61% cheaper than GPT-5.6 Terra Pro (batch) 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 (batch) | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 1.1M | 262K |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | Yes |
| Created | Jul 9, 2026 | Feb 16, 2026 |