GPT-5.2 vs Qwen3 VL Flash
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | GPT-5.2 | Qwen3 VL Flash |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | Gpt 5 2 | Qwen3 VL |
| Model | GPT-5.2 | Qwen3 VL Flash |
| Version | GPT-5.2 | Qwen3 VL Flash |
| Lifecycle | active | active |
| Released | 2025-12-11 | 2026-01-22 |
| Knowledge cutoff | 2025-08-31 | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 400,000 | 262,144 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Alibaba Cloud Model Studio (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools, vision |
14 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
GPT-5.2 Capabilities
Qwen3 VL Flash Capabilities
Internal Comparison Graph
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|---|---|---|---|
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Primary Evidence
Sources and Freshness
Questions
GPT-5.2 vs Qwen3 VL Flash FAQs
Is GPT-5.2 or Qwen3 VL Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 and Qwen3 VL Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.2 or Qwen3 VL Flash?+
GPT-5.2 is $1.75 and Qwen3 VL Flash is $0.15 per million tokens, so Qwen3 VL Flash is cheaper on this metric. GPT-5.2 is $14.00 and Qwen3 VL Flash is $1.50 per million tokens, so Qwen3 VL Flash is cheaper on this metric.
Which has a larger context window, GPT-5.2 or Qwen3 VL Flash?+
GPT-5.2 has the larger sourced context window. GPT-5.2 supports 400,000 and Qwen3 VL Flash supports 262,144.
Which performs better in benchmarks, GPT-5.2 or Qwen3 VL Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-5.2 or Qwen3 VL Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.2 is not marked open weight; Qwen3 VL Flash is not marked open weight.
Can GPT-5.2 and Qwen3 VL Flash understand images?+
GPT-5.2 is documented with image input; Qwen3 VL Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.2 or Qwen3 VL Flash?+
Neither has a larger sourced maximum output. GPT-5.2 is 128,000 and Qwen3 VL Flash is —.
Do GPT-5.2 and Qwen3 VL Flash support reasoning and tool use?+
GPT-5.2: reasoning, tool calling, and image input. Qwen3 VL Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.2 or Qwen3 VL Flash?+
GPT-5.2 has 2 sourced provider routes; Qwen3 VL Flash has 1, so GPT-5.2 has broader tracked availability.
Which offers better value, GPT-5.2 or Qwen3 VL Flash?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.