Granite 4.2 8B vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Granite 4.2 8B | 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 | Granite 4.2 8B | GLM-5.3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,317.9389% of row best · rating · granite-4.2-8b; 95% CI [1306.62269586, 1329.24728966]; votes 3119; rank 219 | 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 | 1 benchmark winOverall 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 | Granite 4.2 8B | GLM-5.3 |
|---|---|---|
| Developer | IBM | Z.ai |
| Family | Granite 4 2 | Glm 5 3 |
| Model | Granite 4.2 8B | GLM-5.3 |
| Version | Granite 4.2 8B | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-08-25 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | 8.8B | 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), Openrouter (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 · 9 material differences · Pair passes the primary-source comparison gate
Granite 4.2 8B Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
Claude Fable 5.1Anthropic | vs | cross-developer peerstext | |
 Gemini 3.1 ProGoogle DeepMind | vs | cross-developer peerstext | |
 DeepSeek-V4-ProDeepSeek | vs | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | cross-developer peerstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Seed 2.1 ProByteDance Seed | vs | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext | |
| vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Granite 4.2 8B vs GLM 5.3 FAQs
Is Granite 4.2 8B or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 8B and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite 4.2 8B or GLM 5.3?+
Granite 4.2 8B is $0.060 and GLM 5.3 is $1.20 per million tokens, so Granite 4.2 8B is cheaper on this metric. Granite 4.2 8B is $0.15 and GLM 5.3 is $4.00 per million tokens, so Granite 4.2 8B is cheaper on this metric.
Which has a larger context window, Granite 4.2 8B or GLM 5.3?+
GLM 5.3 has the larger sourced context window. Granite 4.2 8B supports 131K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Granite 4.2 8B 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 Granite 4.2 8B or GLM 5.3 be self-hosted?+
Granite 4.2 8B is the only model in this pair currently marked as self-hostable. Granite 4.2 8B is open weight; GLM 5.3 is not marked open weight.
Can Granite 4.2 8B and GLM 5.3 understand images?+
Granite 4.2 8B is not 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, Granite 4.2 8B or GLM 5.3?+
Neither has a larger sourced maximum output. Granite 4.2 8B is — and GLM 5.3 is 131K.
Do Granite 4.2 8B and GLM 5.3 support reasoning and tool use?+
Granite 4.2 8B: reasoning and tool calling. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Granite 4.2 8B or GLM 5.3?+
Granite 4.2 8B has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Granite 4.2 8B 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.