GPT-6.1 Terra (batch) vs Qwen3.5-35B-A3B
| Signal | GPT-6.1 Terra (batch) | Delta | Qwen3.5-35B-A3B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 98 | -1 | |
Context window size | 96 | +10 | |
Recency | 100 | +14 | |
Output Capacity | 82 | +3 | |
Benchmarks | 0 | -68 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
40
current score
Qwen3.5-35B-A3B
right now
68.7
current score
GPT-6.1 Terra (batch)
OpenAI
Qwen3.5-35B-A3B
Alibaba
Qwen3.5-35B-A3B saves you $111.00/month
That's $1332.00/year compared to GPT-6.1 Terra (batch) at your current usage level of 100K calls/month.
| Metric | GPT-6.1 Terra (batch) | Qwen3.5-35B-A3B | Winner |
|---|---|---|---|
| Overall Score | 40 | 69 | Qwen3.5-35B-A3B |
| Rank | #183 | #131 | Qwen3.5-35B-A3B |
| Quality Rank | #183 | #131 | Qwen3.5-35B-A3B |
| Adoption Rank | #183 | #131 | Qwen3.5-35B-A3B |
| Parameters | -- | 35B | -- |
| Context Window | 1050K | 262K | GPT-6.1 Terra (batch) |
| Pricing | $0.50/$2.50/M | $0.14/$1.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-6.1 Terra (batch) |
| Pricing | 98 | 99 | Qwen3.5-35B-A3B |
| Context window size | 96 | 86 | GPT-6.1 Terra (batch) |
| Recency | 100 | 86 | GPT-6.1 Terra (batch) |
| Output Capacity | 82 | 79 | GPT-6.1 Terra (batch) |
| Benchmarks | -- | 68 | Qwen3.5-35B-A3B |
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 40/100 (rank #183), placing it in the top 37% of all 290 models tracked.
Scores 69/100 (rank #131), placing it in the top 55% of all 290 models tracked.
Qwen3.5-35B-A3B has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-6.1 Terra (batch) when you need:
- Processing long documents or large codebases (1050K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.5-35B-A3B 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
Qwen3.5-35B-A3B offers 62% better value per quality point. At 1M tokens/day, you'd spend $17.10/month with Qwen3.5-35B-A3B vs $45.00/month with GPT-6.1 Terra (batch) - a $27.90 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. Qwen3.5-35B-A3B 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 ($1.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) 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
Qwen3.5-35B-A3B clearly outperforms GPT-6.1 Terra (batch) with a significant 28.700000000000003-point lead. For most general use cases, Qwen3.5-35B-A3B is the stronger choice. However, GPT-6.1 Terra (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-6.1 Terra (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-35B-A3B
62% lower pricing; better value at scale
Best for Reliability
GPT-6.1 Terra (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-6.1 Terra (batch)
Stronger community support and better developer experience
Best for Production
GPT-6.1 Terra (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-6.1 Terra (batch) | Qwen3.5-35B-A3B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-6.1 Terra (batch)
OpenAI
Qwen3.5-35B-A3B
Alibaba
Qwen3.5-35B-A3B saves you $2.45/month
That's 63% cheaper than GPT-6.1 Terra (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-6.1 Terra (batch) | Qwen3.5-35B-A3B |
|---|---|---|
| Context Window | 1.1M | 262K |
| Max Output Tokens | 128,000 | 81,920 |
| Open Source | No | Yes |
| Created | Oct 26, 2026 | Feb 25, 2026 |