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GLM 5.3 FlashX vs ReMM SLERP 13B

ReMM SLERP 13B costs 1.9x less per output token than GLM 5.3 FlashX ($0.65 vs $1.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 FlashX Replace ReMM SLERP 13B
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
U ReMM SLERP 13BUndi95
Coding
No data
Overall
No data
Output $/M
$0.65
vs $1.25 vs $0.65 per 1M output tokens. ReMM SLERP 13B is 1.9x cheaper.

GLM 5.3 FlashX or ReMM SLERP 13B: 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 6K tokens).

Model AGLM 5.3 FlashXZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BReMM SLERP 13BUndi95Not benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested either model yet, so price and context are the only way to compare them.

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, ReMM SLERP 13B 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 ReMM SLERP 13B $0.65 per million output tokens, 1.9x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, ReMM SLERP 13B 6K.

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.

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
ReMM SLERP 13B$0.0007Fits in one request

ReMM SLERP 13B costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
ReMM SLERP 13B$0.019Exceeds the context window

ReMM SLERP 13B costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
ReMM SLERP 13B$0.076Exceeds the context window

ReMM SLERP 13B 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 ReMM SLERP 13B
SpecificationZ.ai GLM 5.3 FlashXReMM SLERP 13B
MakerZ.aiUndi95
WeightsNo public weights listedOpen weights
ReleasedSeptember 18, 2026July 22, 2023
Context window1.05M6K
Input $/Mtok$0.37$0.35
Output $/Mtok$1.25$0.65
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 ReMM SLERP 13B 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 6K tokens).

Which is cheaper, GLM 5.3 FlashX or ReMM SLERP 13B?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; ReMM SLERP 13B costs $0.35 and $0.65. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or ReMM SLERP 13B?

GLM 5.3 FlashX, with 1.05M tokens against 6K.

Has any benchmark tested both GLM 5.3 FlashX and ReMM SLERP 13B?

No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.

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