DeepSeek V3.1 Terminus vs Qwen3 VL 235B A22B Instruct
| Signal | DeepSeek V3.1 Terminus | Delta | Qwen3 VL 235B A22B Instruct |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 69 | -- | |
Pricing | 99 | -- | |
Context window size | 75 | -3 | |
Recency | 79 | 0 | |
Output Capacity | 75 | +5 | |
| Overall Result | 1 wins | of 6 | 2 wins |
Score History
68.9
current score
Qwen3 VL 235B A22B Instruct
right now
69
current score
DeepSeek V3.1 Terminus
DeepSeek
Qwen3 VL 235B A22B Instruct
Alibaba
Qwen3 VL 235B A22B Instruct saves you $10.50/month
That's $126.00/year compared to DeepSeek V3.1 Terminus at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.1 Terminus | Qwen3 VL 235B A22B Instruct | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | Qwen3 VL 235B A22B Instruct |
| Rank | #108 | #106 | Qwen3 VL 235B A22B Instruct |
| Quality Rank | #108 | #106 | Qwen3 VL 235B A22B Instruct |
| Adoption Rank | #108 | #106 | Qwen3 VL 235B A22B Instruct |
| Parameters | -- | 235B | -- |
| Context Window | 164K | 262K | Qwen3 VL 235B A22B Instruct |
| Pricing | $0.27/$0.95/M | $0.20/$0.88/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | DeepSeek V3.1 Terminus |
| Benchmarks | 69 | 69 | DeepSeek V3.1 Terminus |
| Pricing | 99 | 99 | DeepSeek V3.1 Terminus |
| Context window size | 75 | 77 | Qwen3 VL 235B A22B Instruct |
| Recency | 79 | 79 | Qwen3 VL 235B A22B Instruct |
| Output Capacity | 75 | 70 | DeepSeek V3.1 Terminus |
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 69/100 (rank #108), placing it in the top 63% of all 290 models tracked.
Scores 69/100 (rank #106), placing it in the top 64% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose DeepSeek V3.1 Terminus when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose Qwen3 VL 235B A22B Instruct when you need:
- Processing long documents or large codebases (262K token context)
- Multimodal workflows that require image understanding
- Self-hosted deployments where you need full control over the model
Qwen3 VL 235B A22B Instruct offers 11% better value per quality point. At 1M tokens/day, you'd spend $16.20/month with Qwen3 VL 235B A22B Instruct vs $18.30/month with DeepSeek V3.1 Terminus - a $2.10 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 VL 235B A22B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.88/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
DeepSeek V3.1 Terminus and Qwen3 VL 235B A22B Instruct are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
DeepSeek V3.1 Terminus
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 VL 235B A22B Instruct
11% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.1 Terminus
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.1 Terminus
Stronger community support and better developer experience
Best for Production
DeepSeek V3.1 Terminus
Wider enterprise adoption and proven at scale
by DeepSeek
- 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
by Alibaba
- Choose for Cost - 11% lower pricing; better value at scale
| Capability | DeepSeek V3.1 Terminus | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek V3.1 Terminus
DeepSeek
Qwen3 VL 235B A22B Instruct
Alibaba
Qwen3 VL 235B A22B Instruct saves you $0.2100/month
That's 13% cheaper than DeepSeek V3.1 Terminus 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 | DeepSeek V3.1 Terminus | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Context Window | 164K | 262K |
| Max Output Tokens | 32,768 | 16,384 |
| Open Source | Yes | Yes |
| Created | Sep 22, 2025 | Sep 23, 2025 |