Qwen3.8 2.4T A95B vs o3-pro
At a Glance
| Compare |  o3-proOpenAI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 23, 2026 | $20.00Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 23, 2026 | $80.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 200K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3.8-2.4T-A95B | o3-pro |
|---|---|---|
| Developer | Qwen | OpenAI |
| Family | Qwen3 8 2 4t A95b | O3 |
| Model | Qwen3.8-2.4T-A95B | o3-pro |
| Version | Qwen3.8-2.4T-A95B | o3-pro |
| Lifecycle | active | active |
| Released | Unknown | 2025-06-10 |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 200K |
| Total parameters | 2.4T | Unknown |
| Active parameters | 95B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Qwen3.8 2.4T A95B Capabilities
o3-pro Capabilities
Related Comparisons
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|---|---|---|---|
| vs | GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | family variantstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs o3-pro FAQs
Is Qwen3.8 2.4T A95B or o3-pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and o3-pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or o3-pro?+
Qwen3.8 2.4T A95B is $2.00 and o3-pro is $20.00 per million tokens, so Qwen3.8 2.4T A95B is cheaper on this metric. Qwen3.8 2.4T A95B is $6.00 and o3-pro is $80.00 per million tokens, so Qwen3.8 2.4T A95B is cheaper on this metric.
Which has a larger context window, Qwen3.8 2.4T A95B or o3-pro?+
Qwen3.8 2.4T A95B has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and o3-pro supports 200K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or o3-pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or o3-pro be self-hosted?+
Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; o3-pro is not marked open weight.
Can Qwen3.8 2.4T A95B and o3-pro understand images?+
Qwen3.8 2.4T A95B is not documented with image input; o3-pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or o3-pro?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and o3-pro is 100K.
Do Qwen3.8 2.4T A95B and o3-pro support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. o3-pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or o3-pro?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; o3-pro has 2, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or o3-pro?+
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.