GPT-5.3 Codex vs Qwen3.8 Flash
At a Glance
| Compare |  GPT-5.3 CodexOpenAI |  Qwen3.8 FlashQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #4 of 44$0.021 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.75Openai ↗ · Sep 3, 2026 | $0.113Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $14.00Openai ↗ · Sep 3, 2026 | $0.382Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 400K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 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 | GPT-5.3-Codex | Qwen3.8-Flash |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | Gpt 5 3 | Qwen3 8 Flash |
| Model | GPT-5.3-Codex | Qwen3.8-Flash |
| Version | GPT-5.3-Codex | Qwen3.8-Flash |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2025-08-31 | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 400K | 1,000K |
| 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), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
GPT-5.3 Codex Capabilities
Qwen3.8 Flash Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
GPT-5.3-CodexOpenAI | vs | GPT-6 AstraOpenAI | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | GPT-5.3-CodexOpenAI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
GPT-5.3-CodexOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
GPT-5.3-CodexOpenAI | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
GPT-5.3-CodexOpenAI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
GPT-5.3-CodexOpenAI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | GPT-5.3-CodexOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.3 Codex vs Qwen3.8 Flash FAQs
Is GPT-5.3 Codex or Qwen3.8 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.3 Codex and Qwen3.8 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.3 Codex or Qwen3.8 Flash?+
GPT-5.3 Codex is $1.75 and Qwen3.8 Flash is $0.113 per million tokens, so Qwen3.8 Flash is cheaper on this metric. GPT-5.3 Codex is $14.00 and Qwen3.8 Flash is $0.382 per million tokens, so Qwen3.8 Flash is cheaper on this metric.
Which has a larger context window, GPT-5.3 Codex or Qwen3.8 Flash?+
Qwen3.8 Flash has the larger sourced context window. GPT-5.3 Codex supports 400K and Qwen3.8 Flash supports 1,000K.
Which performs better in benchmarks, GPT-5.3 Codex 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 GPT-5.3 Codex or Qwen3.8 Flash be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.3 Codex is not marked open weight; Qwen3.8 Flash is not marked open weight.
Can GPT-5.3 Codex and Qwen3.8 Flash understand images?+
GPT-5.3 Codex 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, GPT-5.3 Codex or Qwen3.8 Flash?+
Qwen3.8 Flash has the larger sourced maximum output: GPT-5.3 Codex supports 128K and Qwen3.8 Flash supports 131K output tokens.
Do GPT-5.3 Codex and Qwen3.8 Flash support reasoning and tool use?+
GPT-5.3 Codex: 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, GPT-5.3 Codex or Qwen3.8 Flash?+
GPT-5.3 Codex has 2 sourced provider routes; Qwen3.8 Flash has 4, so Qwen3.8 Flash has broader tracked availability.
Which offers better value, GPT-5.3 Codex 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.