ModelSpec is an analysis of alternatives for AI models: it decides which models fit a job from your requirements, sourced benchmarks and real cost, and shows its work.
Kimi K3 vs GLM-5.3 for Coding (self-hosted), as of 2026-09-23
Find a commercially usable open-weights coding model that you can run on your own hardware.
Worked example as of 2026-09-23, from the public data image.
What the evidence says
The evidence can't separate them for this job.
GLM-5.3 has a 41% chance of matching or beating Kimi K3 on this job's objective.
probability bands: a model joins the leader when P(its score >= the leader's) >= 0.25 under the score posteriors; a weighted capability with an 80% interval wider than 2.8 is not enough evidence
Decision status: partial. P(best) and score intervals retain the full ranked lineup for this job, including models beyond this pair and models with thin evidence. Models with unknown objective values remain unranked and are outside this probability. P(best) is not a head-to-head probability.
Scores and score intervals use the objective's dimensionless normalised units. Cost per task is in USD for the selected offering and the applied spec's task size. When task size is omitted, the engine uses its documented default. Unavailable means the engine returned no value.
| Model | Score | Score interval | P(best), ranked job lineup | Cost per task, USD | Selected offering: provider / region / tier | Capability estimates and intervals |
|---|---|---|---|---|---|---|
| Kimi K3 | 1.0 | [0.570896, 1.429104] | 36% | Unavailable | Unavailable / Unavailable / Unavailable |
|
| GLM-5.3 | 0.88943 | [0.46957, 1.30929] | 24% | 0.0736 | zai / global / standard |
|
Open weights you run yourself; commercial licence.
Requirements
model.class = text-generator: Coding work needs a model that generates text and code.model.weights_openness = open_weights: Self-hosting requires downloadable weights; add a model.fits_hardware Must for the device you own.licence.commercial_use in {permitted, permitted_with_conditions}: The licence must allow commercial use, including use with stated conditions.
Preferences
software_engineering: Rank only by the software-engineering capability estimate among self-hostable models.
Applied template spec
spec_version- 1
where- model.class = text-generator
- model.weights_openness = open_weights
- licence.commercial_use in {permitted, permitted_with_conditions}
optimizeweightssoftware_engineering- 1.0
Evidence for Kimi K3
| Benchmark | Version | Measurement | Unit | Published interval | Evidence date | Measurement conditions | Provenance |
|---|---|---|---|---|---|---|---|
| arena_sc_coding | text_style_control / coding, latest split, revision 1880dbebff5b | 1538.42 | Arena score (Elo scale) | Unavailable | 2026-09-13 |
| Source |
| arena_sc_industry_software_it_services | text_style_control / industry_software_and_it_services, latest split, revision 1880dbebff5b | 1525.13 | Arena score (Elo scale) | Unavailable | 2026-09-13 |
| Source |
| arena_webdev | webdev / overall, latest split, revision 1880dbebff5b | 1659.57 | Arena score (Elo scale) | Unavailable | 2026-09-23 |
| Source |
| deepswe_v1_1 | DeepSWE v1.1, pass@1, mini-swe-agent | 68.51 | percent | Unavailable | 2026-09-30 |
| Source |
| frontiercode_v1_1 | FrontierCode 1.1, main score (Mean@5) | 44.2 | percent | Unavailable | 2026-09-30 |
| Source |
Missing facts for Kimi K3
feature.batch: not_disclosedmodel.languages: unknownorigin.base_lineage: not_disclosedorigin.lab_jurisdiction: not_disclosedorigin.weights_hosting: not_disclosed
Evidence for GLM-5.3
| Benchmark | Version | Measurement | Unit | Published interval | Evidence date | Measurement conditions | Provenance |
|---|---|---|---|---|---|---|---|
| arena_sc_coding | text_style_control / coding, latest split, revision 1880dbebff5b | 1524.01 | Arena score (Elo scale) | Unavailable | 2026-09-13 |
| Source |
| arena_sc_industry_software_it_services | text_style_control / industry_software_and_it_services, latest split, revision 1880dbebff5b | 1518.07 | Arena score (Elo scale) | Unavailable | 2026-09-13 |
| Source |
| arena_webdev | webdev / overall, latest split, revision 1880dbebff5b | 1621.84 | Arena score (Elo scale) | Unavailable | 2026-09-23 |
| Source |
| deepswe_v1_1 | DeepSWE v1.1, pass@1, mini-swe-agent | 68.96 | percent | Unavailable | 2026-09-30 |
| Source |
| frontiercode_v1_1 | FrontierCode 1.1, main score (Mean@5) | 40.1 | percent | Unavailable | 2026-09-30 |
| Source |
| terminal_bench_v4_0 | Terminal-Bench 4.0 | 41.82 | percent | Unavailable | 2026-08-14 |
| Source |
Missing facts for GLM-5.3
feature.batch: not_disclosedmodel.languages: unknownorigin.lab_jurisdiction: not_disclosedorigin.weights_hosting: not_disclosedoffering.api_model_id: unknownoffering.attestation.baa: not_disclosedoffering.attestation.soc2: not_disclosedoffering.data.retention: not_disclosedoffering.data.trains_on_customer_data: not_disclosedoffering.data.zero_retention: not_disclosedoffering.price.batch_input: not_disclosedoffering.price.batch_output: not_disclosedoffering.private_deployment: unknownoffering.router_slug: unknownoffering.speed.throughput: unknownoffering.speed.time_to_first_token: unknown
What this template teaches
Privacy is a Must on the weights and the licence; the canvas shows the model size you would have to host. Lab jurisdiction is a buyer-set Must (origin.lab_jurisdiction in {…}); an unverified jurisdiction does not pass, so set the countries on the facet board. The same condition works as an inventory profile rule.
Decision dec_c4fed650835ff3d8850df9b4 on public snapshot snap_05a963d2477ac2fb.
Read the full dated job answer.
The live board uses current data. This link applies the template to its full lineup.
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