Which is cheaper, Qwen3.8 27B and GLM-5.3?

Qwen3.8 27B has the lowest input price. Per 1M input tokens: Qwen3.8 27B from $0.40 and GLM-5.3 from $0.56.

Which has the larger context window, Qwen3.8 27B and GLM-5.3?

GLM-5.3 has the largest context window: Qwen3.8 27B 262,144 tokens and GLM-5.3 1,048,576 tokens.

Can I switch between Qwen3.8 27B and GLM-5.3 without changing my code?

Yes. All of them are served through FastRouter's OpenAI-compatible API, so switching is a change of the model parameter (qwen/qwen3.8-27b, z-ai/glm-5.3).

Qwen3.8 27B vs GLM-5.3

Side-by-side pricing per provider, context window, benchmark scores and speed, all on one OpenAI-compatible API.

Estimate monthly cost for these models

Qwen3.8 27B Alibabaqwen/qwen3.8-27b

GLM-5.3 Z.aiz-ai/glm-5.3

Creator

Alibaba

Z.ai

Released

Aug 14, 2025

Aug 18, 2026

Context window

262K

1.05M

Max output

33K

131K

Input / 1MLowest provider price

$0.40

$0.56$0.56–$1.40 across 5

Output / 1MLowest provider price

$3.00

$2.50$2.50–$4.40 across 5

Providers

IntelligenceArtificial Analysis index

20.1

31.7

Accepts

Text, Image, Video

Text

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Qwen3.8 27B vs GLM-5.3: summary

Qwen3.8 27B and GLM-5.3 are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Qwen3.8 27B, from Alibaba, has a 262,144-token context window, costs $0.40/1M input and $3.00/1M output tokens and scores 20.1 on the Artificial Analysis Intelligence Index.

GLM-5.3, from Z.ai, has a 1,048,576-token context window, costs from $0.56/1M input and $2.50/1M output tokens across 5 providers and scores 31.7 on the Artificial Analysis Intelligence Index.

Qwen3.8 27B is the cheapest on input, 1.4× cheaper than the next model, GLM-5.3 has the largest context window and GLM-5.3 scores highest for intelligence.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="qwen/qwen3.8-27b", messages=[...]) # or client.chat.completions.create(model="z-ai/glm-5.3", messages=[...])

Full API docs

Frequently asked questions

More comparisons

Benchmark scores sourced from ArtificialAnalysis