| Signal | GPT-4 Turbo | Delta | Qwen3 Next 80B A3B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 70 | +3 | |
Pricing | 70 | -29 | |
Context window size | 81 | -5 | |
Recency | 1 | -95 | |
Output Capacity | 60 | +40 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
67.4
current score
GPT-4 Turbo
right now
67
current score
OpenAI
Alibaba
Qwen3 Next 80B A3B Instruct saves you $2436.00/month
That's $29232.00/year compared to GPT-4 Turbo at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo | Qwen3 Next 80B A3B Instruct | Winner |
|---|---|---|---|
| Overall Score | 67 | 67 | GPT-4 Turbo |
| Rank | #70 | #72 | GPT-4 Turbo |
| Quality Rank | #70 | #72 | GPT-4 Turbo |
| Adoption Rank | #70 | #72 | GPT-4 Turbo |
| Parameters | -- | 80B | -- |
| Context Window | 128K | 262K | Qwen3 Next 80B A3B Instruct |
| Pricing | $10.00/$30.00/M | $0.09/$1.10/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4 Turbo |
| Benchmarks | 70 | 67 | GPT-4 Turbo |
| Pricing | 70 | 99 | Qwen3 Next 80B A3B Instruct |
| Context window size | 81 | 86 | Qwen3 Next 80B A3B Instruct |
| Recency | 1 | 96 | Qwen3 Next 80B A3B Instruct |
| Output Capacity | 60 | 20 | GPT-4 Turbo |
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 67/100 (rank #70), placing it in the top 76% of all 290 models tracked.
Scores 67/100 (rank #72), placing it in the top 76% 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.
Qwen3 Next 80B A3B Instruct offers 97% better value per quality point. At 1M tokens/day, you'd spend $17.85/month with Qwen3 Next 80B A3B Instruct vs $600.00/month with GPT-4 Turbo - a $582.15 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 (67/100) 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-4 Turbo and Qwen3 Next 80B A3B Instruct are extremely close in overall performance (only 0.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4 Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Next 80B A3B Instruct
97% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 Turbo | Qwen3 Next 80B A3B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3 Next 80B A3B Instruct saves you $52.52/month
That's 97% cheaper than GPT-4 Turbo 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-4 Turbo | Qwen3 Next 80B A3B Instruct |
|---|---|---|
| Context Window | 128K | 262K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Apr 9, 2024 | Sep 11, 2025 |
GPT-4 Turbo scores 67/100 (rank #70) compared to Qwen3 Next 80B A3B Instruct's 67/100 (rank #72), giving it a 0-point advantage. GPT-4 Turbo is the stronger overall choice, though Qwen3 Next 80B A3B Instruct may excel in specific areas like cost efficiency.
GPT-4 Turbo is ranked #70 and Qwen3 Next 80B A3B Instruct 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 GPT-4 Turbo's $30.00/M output tokens - 27.3x more expensive. Input token pricing: GPT-4 Turbo at $10.00/M vs Qwen3 Next 80B A3B Instruct at $0.09/M.
Qwen3 Next 80B A3B Instruct has a larger context window of 262,144 tokens compared to GPT-4 Turbo's 128,000 tokens. A larger context window means the model can process longer documents and conversations.