Gemma 4 E4B vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemma 4 E4B | 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 E4B | GLM-5.3 |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemma 4 | Glm 5 3 |
| Model | Gemma 4 E4B | GLM-5.3 |
| Version | Gemma 4 E4B | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-03-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), 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 E4B Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 E4B vs GLM 5.3 FAQs
Is Gemma 4 E4B or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E4B 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 E4B or GLM 5.3?+
Gemma 4 E4B is $0.020 and GLM 5.3 is $1.20 per million tokens, so Gemma 4 E4B is cheaper on this metric. Gemma 4 E4B is $0.10 and GLM 5.3 is $4.00 per million tokens, so Gemma 4 E4B is cheaper on this metric.
Which has a larger context window, Gemma 4 E4B or GLM 5.3?+
GLM 5.3 has the larger sourced context window. Gemma 4 E4B supports 131K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Gemma 4 E4B 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 E4B or GLM 5.3 be self-hosted?+
Gemma 4 E4B is the only model in this pair currently marked as self-hostable. Gemma 4 E4B is open weight; GLM 5.3 is not marked open weight.
Can Gemma 4 E4B and GLM 5.3 understand images?+
Gemma 4 E4B 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 E4B or GLM 5.3?+
Neither has a larger sourced maximum output. Gemma 4 E4B is — and GLM 5.3 is 131K.
Do Gemma 4 E4B and GLM 5.3 support reasoning and tool use?+
Gemma 4 E4B: 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 E4B or GLM 5.3?+
Gemma 4 E4B has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Gemma 4 E4B 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.