Which is cheaper, Ling 3.1 Flash and GLM-5.3?

Ling 3.1 Flash has the lowest input price. Per 1M input tokens: Ling 3.1 Flash from $0.07 and GLM-5.3 from $0.56.

Which has the larger context window, Ling 3.1 Flash and GLM-5.3?

GLM-5.3 has the largest context window: Ling 3.1 Flash 262,144 tokens and GLM-5.3 1,048,576 tokens.

Can I switch between Ling 3.1 Flash 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 (inclusionai/ling-3.1-flash, z-ai/glm-5.3).

Ling 3.1 Flash 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

Ling 3.1 Flash inclusionAIinclusionai/ling-3.1-flash

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

Creator

inclusionAI

Z.ai

Released

Oct 2, 2026

Aug 18, 2026

Context window

262K

1.05M

Input / 1MLowest provider price

$0.07

$0.56$0.56–$1.40 across 5

Output / 1MLowest provider price

$0.22

$2.50$2.50–$4.40 across 5

Providers

IntelligenceArtificial Analysis index

29.6

31.7

Accepts

Text

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Ling 3.1 Flash vs GLM-5.3: summary

Ling 3.1 Flash 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.

Ling 3.1 Flash, from inclusionAI, has a 262,144-token context window, costs $0.07/1M input and $0.22/1M output tokens and scores 29.6 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.

Ling 3.1 Flash is the cheapest on input, 8× 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="inclusionai/ling-3.1-flash", 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