AI model comparison
Qwen3.7 Flash vs Qwen3 14B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.7 Flash
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
- Input / 1M
- $0.03
- Output / 1M
- $0.13
- Context
- 1M
Qwen
Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
- Input / 1M
- $0.12
- Output / 1M
- $0.24
- Context
- 41K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.7 Flash
2.9x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Qwen3.7 Flash
1M vs 41K tokens
Newer release
Qwen3.7 Flash
Released July 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.7 FlashNot availableQwen3 14B6.7Coding index
Qwen3.7 FlashNot availableQwen3 14BNot availableAgentic index
Qwen3.7 FlashNot availableQwen3 14BNot availablePricing
Qwen3.7 Flash vs Qwen3 14B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Flash | Qwen3 14B |
|---|---|---|
| Input tokensPer 1M tokens | $0.03 | $0.12 |
| Output tokensPer 1M tokens | $0.13 | $0.24 |
| Cached input (read)Per 1M tokens | $0.01 | Not available |
| Cache writePer 1M tokens | $0.04 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.10 in / $0.40 out above 32K | Same rate at any length |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.7 Flash$0.13Qwen3 14B$0.36Coding task
30K in, 4K out
Qwen3.7 Flash$1.42$0.70 cachedQwen3 14B$4.56Long document summary
150K in, 2K out
Qwen3.7 Flash$4.76$1.16 cachedQwen3 14B$18.48Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Flash | Qwen3 14B |
|---|---|---|
| Context window | 1M tokens | 41K tokens |
| Max output | 66K tokens | 16K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 27, 2026 | April 28, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Flash | Qwen3 14B |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.7 FlashView full model details- Qwen3.7 Flash vs DeepSeek V4.1 Flash
- Qwen3.7 Flash vs MiMo-V2.6-Flash
- Qwen3.7 Flash vs GPT-6 Luna
- Qwen3.7 Flash vs DeepSeek V4 Flash 0423
- Qwen3.7 Flash vs Muse Spark 1.3 Contributor
- Qwen3.7 Flash vs Solar Mini 4
- Qwen3.7 Flash vs Qwen3.8 Flash
- Qwen3.7 Flash vs Qwen3.5-9B
- Qwen3.7 Flash vs Qwen3 30B A3B Instruct 2507
Qwen3 14BView full model details- Qwen3 14B vs GPT-4o-mini
- Qwen3 14B vs Llama 3.3 70B Instruct
- Qwen3 14B vs Qwen3 30B A3B Instruct 2507
- Qwen3 14B vs Qwen3 Coder 30B A3B Instruct
- Qwen3 14B vs Llama 4 Scout
- Qwen3 14B vs Nemotron 3 Nano 30B A3B
- Qwen3 14B vs Qwen3 VL 30B A3B Instruct
- Qwen3 14B vs Qwen2.5 72B Instruct
- Qwen3 14B vs Qwen3 30B A3B
- Qwen3 14B vs Qwen3 32B
- Qwen3 14B vs Mistral Small 3
- Qwen3 14B vs Nova Lite 1.0
- Qwen3 14B vs Reka Flash 3
- Qwen3 14B vs Ministral 3 14B 2512
- Qwen3 14B vs Phi 4
Our take
Qwen3.7 Flash is 2.9x cheaper for a typical chat. Qwen3.7 Flash has the larger context window (1M vs 41K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.7 Flash or Qwen3 14B cheaper?
Qwen3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens, while Qwen3 14B costs $0.12 per 1M input tokens and $0.24 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Flash or Qwen3 14B?
Qwen3.7 Flash supports up to 1M tokens of context, compared with 41K for Qwen3 14B.
Can I use Qwen3.7 Flash and Qwen3 14B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.7 Flash and Qwen3 14B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Flash and Qwen3 14B at the same time. Compare the answers side by side and keep the best one.