| Signal | Qwen3 Next 80B A3B Instruct | Delta | Qwen3 VL 235B A22B Thinking |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 67 | +1 | |
Pricing | 1 | -1 | |
Context window size | 86 | +5 | |
Recency | 96 | -2 | |
Output Capacity | 20 | -55 | |
| Overall Result | 2 wins | of 6 | 4 wins |
6
days higher
4
days
20
days higher
Alibaba
Alibaba
Qwen3 Next 80B A3B Instruct saves you $92.00/month
That's $1104.00/year compared to Qwen3 VL 235B A22B Thinking at your current usage level of 100K calls/month.
| Metric | Qwen3 Next 80B A3B Instruct | Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Overall Score | 67 | 68 | Qwen3 VL 235B A22B Thinking |
| Rank | #73 | #72 | Qwen3 VL 235B A22B Thinking |
| Quality Rank | #73 | #72 | Qwen3 VL 235B A22B Thinking |
| Adoption Rank | #73 | #72 | Qwen3 VL 235B A22B Thinking |
| Parameters | 80B | 235B | -- |
| Context Window | 262K | 131K | Qwen3 Next 80B A3B Instruct |
| Pricing | $0.09/$1.10/M | $0.26/$2.60/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | Qwen3 VL 235B A22B Thinking |
| Benchmarks | 67 | 66 | Qwen3 Next 80B A3B Instruct |
| Pricing | 1 | 3 | Qwen3 VL 235B A22B Thinking |
| Context window size | 86 | 81 | Qwen3 Next 80B A3B Instruct |
| Recency | 96 | 98 | Qwen3 VL 235B A22B Thinking |
| Output Capacity | 20 | 75 | Qwen3 VL 235B A22B Thinking |
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%). Here's what the scores mean for these two models:
Scores 67/100 (rank #73), placing it in the top 75% of all 290 models tracked.
Scores 68/100 (rank #72), placing it in the top 76% of all 290 models tracked.
With only a 1-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.
Qwen3 Next 80B A3B Instruct offers 58% better value per quality point. At 1M tokens/day, you'd spend $17.85/month with Qwen3 Next 80B A3B Instruct vs $42.90/month with Qwen3 VL 235B A22B Thinking - a $25.05 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 Next 80B A3B 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 ($1.10/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) 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 Next 80B A3B Instruct and Qwen3 VL 235B A22B Thinking are extremely close in overall performance (only 0.5999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen3 Next 80B A3B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Next 80B A3B Instruct
58% lower pricing; better value at scale
Best for Reliability
Qwen3 Next 80B A3B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Qwen3 Next 80B A3B Instruct
Stronger community support and better developer experience
Best for Production
Qwen3 Next 80B A3B Instruct
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3 Next 80B A3B Instruct | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Qwen3 Next 80B A3B Instruct saves you $2.11/month
That's 59% cheaper than Qwen3 VL 235B A22B Thinking 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 | Qwen3 Next 80B A3B Instruct | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Context Window | 262K | 131K |
| Max Output Tokens | -- | 32,768 |
| Open Source | Yes | Yes |
| Created | Sep 11, 2025 | Sep 23, 2025 |
Qwen3 VL 235B A22B Thinking scores 68/100 (rank #72) compared to Qwen3 Next 80B A3B Instruct's 67/100 (rank #73), giving it a 1-point advantage. Qwen3 VL 235B A22B Thinking is the stronger overall choice, though Qwen3 Next 80B A3B Instruct may excel in specific areas like cost efficiency.
Qwen3 Next 80B A3B Instruct is ranked #73 and Qwen3 VL 235B A22B Thinking is ranked #72 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3 Next 80B A3B Instruct is cheaper at $1.10/M output tokens vs Qwen3 VL 235B A22B Thinking's $2.60/M output tokens - 2.4x more expensive. Input token pricing: Qwen3 Next 80B A3B Instruct at $0.09/M vs Qwen3 VL 235B A22B Thinking at $0.26/M.
Qwen3 Next 80B A3B Instruct has a larger context window of 262,144 tokens compared to Qwen3 VL 235B A22B Thinking's 131,072 tokens. A larger context window means the model can process longer documents and conversations.