Time to First Token · GPT-5 nano (high)
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Time to First Token · Qwen3.7 Max
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GPT-5 nano (high) vs Qwen3.7 Max: The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the GPT-5 nano (high) vs Qwen3.7 Max Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
GPT-5 nano (high)Qwen3.7 Max
8.0
Reasoning6.0
6.0
Coding7.0
2.0
Multimodal4.0
2.0
Long Context6.0
$0.138
Blended Price / 1M tokens$3.75
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P95 Latency—
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Tokens per second204.156
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| GPT-5 nano (high) | Reasoning | 8.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Qwen3.7 Max | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Qwen3.7 Max | Coding | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Multimodal | 2.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Qwen3.7 Max | Multimodal | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Long Context | 2.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Qwen3.7 Max | Long Context | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Blended Price / 1M tokens | $0.138 | USD per 1M tokens | Artificial Analysis · current catalog |
| Qwen3.7 Max | Blended Price / 1M tokens | $3.75 | USD per 1M tokens | Artificial Analysis · current catalog |
| GPT-5 nano (high) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Qwen3.7 Max | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| GPT-5 nano (high) | Tokens per second | — | tokens per second | Artificial Analysis · current catalog |
| Qwen3.7 Max | Tokens per second | 204.156 | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-5 nano (high)` vs `Qwen3.7 Max`.
GPT-5 nano (high)Qwen3.7 Max
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
—66.0
ARTIFICIAL ANALYSIS CODING19.946.0
ARTIFICIAL ANALYSIS INTELLIGENCE83.7—
ARTIFICIAL ANALYSIS MATHGPT-5 nano (high)Qwen3.7 Max
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · GPT-5 nano (high)
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Tokens per Second · Qwen3.7 Max
204.156
The Economics of GPT-5 nano (high) vs Qwen3.7 Max
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
$0.05$2.5
Input Pricing$0.4$7.5
Output PricingGPT-5 nano (high)Qwen3.7 Max
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensGPT-5 nano (high)$0.15
Qwen3.7 Max$4.375
GPT-5 nano (high) costs $4.225 less per run
Your Questions about the GPT-5 nano (high) vs Qwen3.7 Max Comparison
Is `GPT-5 nano (high)` a direct replacement for `Qwen3.7 Max`?
The current GPT-5 nano (high) vs Qwen3.7 Max data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.
For coding, which is better in the `GPT-5 nano (high) vs Qwen3.7 Max` debate?
The current catalog does not contain comparable coding benchmark values for both models, so this page does not declare a coding winner.
How was this `GPT-5 nano (high) vs Qwen3.7 Max` comparison conducted?
Our GPT-5 nano (high) vs Qwen3.7 Max comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.