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GLM 5.3 FlashX vs MiniMax-01

GLM 5.3 FlashX and MiniMax-01 cost about the same per output token ($1.25 vs $1.10 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
MiniMax-01MiniMax
Coding
No data
Overall
No data
Output $/M
$1.10
vs $1.25 vs $1.10 per 1M output tokens. MiniMax-01 is 1.1x cheaper.

GLM 5.3 FlashX or MiniMax-01: which to pick

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

Pick GLM 5.3 FlashX for a larger context window (1.05M against 1M tokens).

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; MiniMax-01 on Kagi LLM Benchmark. Compare them on price and context instead.

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, MiniMax-01 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GLM 5.3 FlashX $1.25 against MiniMax-01 $1.10 per million output tokens, 1.1x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, MiniMax-01 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for GLM 5.3 FlashX and MiniMax-01
BenchmarkGLM 5.3 FlashXMiniMax-01Leader
Kagi LLM BenchmarkNot measured42.5%Only MiniMax-01 measured
Neither model has a result on the other 21 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
MiniMax-01$0.0008Fits in one request

MiniMax-01 costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
MiniMax-01$0.013Fits in one request

MiniMax-01 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
MiniMax-01$0.051Fits in one request

MiniMax-01 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 MiniMax-01
SpecificationZ.ai GLM 5.3 FlashXMiniMax-01
MakerZ.aiMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 18, 2026January 15, 2025
Context window1.05M1M
Input $/Mtok$0.37$0.20
Output $/Mtok$1.25$1.10
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 MiniMax-01 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for a larger context window (1.05M against 1M tokens).

Which is cheaper, GLM 5.3 FlashX or MiniMax-01?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; MiniMax-01 costs $0.20 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or MiniMax-01?

GLM 5.3 FlashX, with 1.05M tokens against 1M.

Has any benchmark tested both GLM 5.3 FlashX and MiniMax-01?

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; MiniMax-01 on Kagi LLM Benchmark. Compare them on price and context instead. Data as of October 22, 2026.

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