Qwen3.8 27B vs GPT-4o

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and GPT-4o, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Qwen3.8 27B is $0.20 and GPT-4o is $1.25 per million tokens, so Qwen3.8 27B is cheaper on this metric. Qwen3.8 27B is $2.50 and GPT-4o is $5.00 per million tokens, so Qwen3.8 27B is cheaper on this metric.

Qwen3.8 27B has the larger sourced context window. Qwen3.8 27B supports 262K and GPT-4o supports 128K.

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Qwen3.8 27B is the only model in this pair currently marked as self-hostable. Qwen3.8 27B is open weight; GPT-4o is not marked open weight.

Qwen3.8 27B is documented with image input; GPT-4o is documented with image input. This reflects supported input modalities, not vision quality.

Qwen3.8 27B has the larger sourced maximum output: Qwen3.8 27B supports 131K and GPT-4o supports 16K output tokens.

Qwen3.8 27B: reasoning, tool calling, and image input. GPT-4o: tool calling and image input. Feature support does not establish relative quality.

Qwen3.8 27B has 3 sourced provider routes; GPT-4o has 2, so Qwen3.8 27B has broader tracked availability.

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.