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GLM 5.3 FlashX vs GPT Audio Mini

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.3 FlashX Replace GPT Audio Mini
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
GPT Audio MiniOpenAI
Coding
No data
Overall
No data
Output $/M
$2.40
vs $1.25 vs $2.40 per 1M output tokens. GLM 5.3 FlashX is 1.9x cheaper.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

GLM 5.3 FlashX has the edge where output tokens cost 1.9x less, and where the context window is larger, 1.05M against 128K tokens.

Model AGLM 5.3 FlashXZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT Audio MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
GLM 5.3 FlashX only
0
GPT Audio Mini only
0
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GLM 5.3 FlashX not benchmarked, GPT Audio Mini not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
GLM 5.3 FlashX $1.25 against GPT Audio Mini $2.40 per million output tokens, 1.9x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, GPT Audio Mini 128K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 38 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 FlashX and GPT Audio Mini
BenchmarkGLM 5.3 FlashXGPT Audio MiniLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GLM 5.3 FlashX$0.0010Fits in one request
GPT Audio Mini$0.0018Fits in one request

GLM 5.3 FlashX costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
GPT Audio Mini$0.037Fits in one request

GLM 5.3 FlashX costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
GPT Audio Mini$0.144Exceeds the context window

GLM 5.3 FlashX costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GLM 5.3 FlashX and GPT Audio Mini
SpecificationZ.ai GLM 5.3 FlashXOpenAI GPT Audio Mini
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026January 19, 2026
Context window1.05M128K
Input $/Mtok$0.37$0.60
Output $/Mtok$1.25$2.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 FlashX better than GPT Audio Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. GLM 5.3 FlashX has the edge where output tokens cost 1.9x less, and where the context window is larger, 1.05M against 128K tokens.

Which is cheaper, GLM 5.3 FlashX or GPT Audio Mini?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; GPT Audio Mini costs $0.60 and $2.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or GPT Audio Mini?

GLM 5.3 FlashX, with 1.05M tokens against 128K.

How many benchmarks is the GLM 5.3 FlashX vs GPT Audio Mini comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 FlashX's coding index rests on 0 independent benchmarks and GPT Audio Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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