Llama 4 Maverick 17B 128E Instruct vs GLM 5.2
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Llama-4-Maverick-17B-128E-Instruct | GLM-5.2 |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #11 of 36$0.056 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 | Llama-4-Maverick-17B-128E-Instruct | GLM-5.2 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,287.1388% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243 | 1,466.80100% of row best · rating · glm-5.2-max; 95% CI [1462.10739564, 1471.49788772]; votes 33758; rank 26 |
| 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 | Llama-4-Maverick-17B-128E-Instruct | GLM-5.2 |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Llama 4 Maverick 17b 128e Instruct | Glm 5 2 |
| Model | Llama-4-Maverick-17B-128E-Instruct | GLM-5.2 |
| Version | Llama-4-Maverick-17B-128E-Instruct | GLM-5.2 |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,049K |
| Total parameters | 401.6B | 753.3B |
| Active parameters | 17B | Unknown |
| License | other | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
15 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Llama 4 Maverick 17B 128E Instruct Capabilities
GLM 5.2 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Maverick 17B 128E Instruct vs GLM 5.2 FAQs
Is Llama 4 Maverick 17B 128E Instruct or GLM 5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E Instruct and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Maverick 17B 128E Instruct or GLM 5.2?+
Llama 4 Maverick 17B 128E Instruct is $0.20 and GLM 5.2 is $0.75 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Llama 4 Maverick 17B 128E Instruct is $0.696 and GLM 5.2 is $2.40 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric.
Which has a larger context window, Llama 4 Maverick 17B 128E Instruct or GLM 5.2?+
GLM 5.2 has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and GLM 5.2 supports 1,049K.
Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or GLM 5.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 4 Maverick 17B 128E Instruct or GLM 5.2 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 4 Maverick 17B 128E Instruct is open weight; GLM 5.2 is open weight.
Can Llama 4 Maverick 17B 128E Instruct and GLM 5.2 understand images?+
Llama 4 Maverick 17B 128E Instruct is documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Maverick 17B 128E Instruct or GLM 5.2?+
Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and GLM 5.2 is —.
Do Llama 4 Maverick 17B 128E Instruct and GLM 5.2 support reasoning and tool use?+
Llama 4 Maverick 17B 128E Instruct: tool calling and image input. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Maverick 17B 128E Instruct or GLM 5.2?+
Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.
Which offers better value, Llama 4 Maverick 17B 128E Instruct or GLM 5.2?+
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.