Gemma 4 31B vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemma 4 31B | 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
| Benchmark | Gemma 4 31B | GLM-5.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | -22.3375% of row best · score · Gemma 4 31B; 95% CI [-25.65092528, -19.00692476]; sessions 56661; observations 703574; rank 56 | 3.82100% of row best · score · GLM 5.3 (Max); 95% CI [3.01733683, 4.62585790]; sessions 41022; observations 2958163; rank 20 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,441.8298% of row best · rating · gemma-4-31b; 95% CI [1434.27306811, 1449.35895578]; votes 5900; rank 60 | 1,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 31B | GLM-5.3 |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemma 4 | Glm 5 3 |
| Model | Gemma 4 31B | GLM-5.3 |
| Version | Gemma 4 31B | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 31B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (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 31B Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemma 4 31BGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Gemini 3.1 ProGoogle DeepMind | vs | Gemma 4 31BGoogle DeepMind | developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | Gemma 4 31BGoogle DeepMind | cross-developer peerstext |
Gemma 4 31BGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Gemma 4 31BGoogle DeepMind | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 31B vs GLM 5.3 FAQs
Is Gemma 4 31B or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B 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 31B or GLM 5.3?+
Gemma 4 31B is $0.090 and GLM 5.3 is $1.20 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.34 and GLM 5.3 is $4.00 per million tokens, so Gemma 4 31B is cheaper on this metric.
Which has a larger context window, Gemma 4 31B or GLM 5.3?+
GLM 5.3 has the larger sourced context window. Gemma 4 31B supports 262K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Gemma 4 31B or GLM 5.3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemma 4 31B or GLM 5.3 be self-hosted?+
Gemma 4 31B is the only model in this pair currently marked as self-hostable. Gemma 4 31B is open weight; GLM 5.3 is not marked open weight.
Can Gemma 4 31B and GLM 5.3 understand images?+
Gemma 4 31B 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 31B or GLM 5.3?+
Neither has a larger sourced maximum output. Gemma 4 31B is — and GLM 5.3 is 131K.
Do Gemma 4 31B and GLM 5.3 support reasoning and tool use?+
Gemma 4 31B: 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 31B or GLM 5.3?+
Gemma 4 31B has 5 sourced provider routes; GLM 5.3 has 4, so Gemma 4 31B has broader tracked availability.
Which offers better value, Gemma 4 31B 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.