Gemma 4 12B vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemma 4 12B | GLM-5.3 |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #28 of 36$0.248 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 12B | GLM-5.3 |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemma 4 | Glm 5 3 |
| Model | Gemma 4 12B | GLM-5.3 |
| Version | Gemma 4 12B | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-05-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 12B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemma 4 12B Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemma 4 12BGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Gemma 4 12BGoogle DeepMind | cross-developer peersimage, text |
Gemini 3.1 ProGoogle DeepMind | vs | Gemma 4 12BGoogle DeepMind | developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | Gemma 4 12BGoogle DeepMind | cross-developer peerstext |
Gemma 4 12BGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peersimage, text |
Gemma 4 12BGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Gemma 4 12BGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Gemma 4 12BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 12BGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemma 4 12BGoogle DeepMind | cross-developer peersimage, text, video |
Gemma 4 12BGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Gemma 4 12BGoogle DeepMind | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 12B vs GLM 5.3 FAQs
Is Gemma 4 12B or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 12B and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 12B or GLM 5.3?+
Only GLM 5.3 has a directly sourced input price: $1.20 per million tokens. Only GLM 5.3 has a directly sourced output price: $4.00 per million tokens.
Which has a larger context window, Gemma 4 12B or GLM 5.3?+
GLM 5.3 has the larger sourced context window. Gemma 4 12B supports 262K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Gemma 4 12B or GLM 5.3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 12B or GLM 5.3 be self-hosted?+
Gemma 4 12B is the only model in this pair currently marked as self-hostable. Gemma 4 12B is open weight; GLM 5.3 is not marked open weight.
Can Gemma 4 12B and GLM 5.3 understand images?+
Gemma 4 12B is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 12B or GLM 5.3?+
Neither has a larger sourced maximum output. Gemma 4 12B is — and GLM 5.3 is 131K.
Do Gemma 4 12B and GLM 5.3 support reasoning and tool use?+
Gemma 4 12B: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 12B or GLM 5.3?+
Gemma 4 12B has 1 sourced provider route; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Gemma 4 12B or GLM 5.3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.