o3-pro vs Qwen3.8-Flash
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | o3-pro | Qwen3.8-Flash |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | O3 | Qwen3 8 Flash |
| Model | o3-pro | Qwen3.8-Flash |
| Version | o3-pro | Qwen3.8-Flash |
| Lifecycle | active | active |
| Released | 2025-06-10 | Unknown |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 200,000 | 1,000,000 |
| 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), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
o3-pro Capabilities
Qwen3.8-Flash Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
o3-pro vs Qwen3.8-Flash FAQs
Is o3-pro or Qwen3.8-Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both o3-pro and Qwen3.8-Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, o3-pro or Qwen3.8-Flash?+
o3-pro is $20.00 and Qwen3.8-Flash is $0.15 per million tokens, so Qwen3.8-Flash is cheaper on this metric. o3-pro is $80.00 and Qwen3.8-Flash is $0.47 per million tokens, so Qwen3.8-Flash is cheaper on this metric.
Which has a larger context window, o3-pro or Qwen3.8-Flash?+
Qwen3.8-Flash has the larger sourced context window. o3-pro supports 200,000 and Qwen3.8-Flash supports 1,000,000.
Which performs better in benchmarks, o3-pro or Qwen3.8-Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can o3-pro or Qwen3.8-Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. o3-pro is not marked open weight; Qwen3.8-Flash is not marked open weight.
Can o3-pro and Qwen3.8-Flash understand images?+
o3-pro is documented with image input; Qwen3.8-Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, o3-pro or Qwen3.8-Flash?+
Qwen3.8-Flash has the larger sourced maximum output: o3-pro supports 100,000 and Qwen3.8-Flash supports 131,072 output tokens.
Do o3-pro and Qwen3.8-Flash support reasoning and tool use?+
o3-pro: reasoning, tool calling, and image input. Qwen3.8-Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, o3-pro or Qwen3.8-Flash?+
o3-pro has 2 sourced provider routes; Qwen3.8-Flash has 3, so Qwen3.8-Flash has broader tracked availability.
Which offers better value, o3-pro or Qwen3.8-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.