Muse Spark 1.2 vs GLM 5.3
Benchmark Performance
Available Benchmarks
| Benchmark | Muse Spark 1.2 | GLM-5.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | 0.9797% of row best · score · Muse Spark 1.2 (xHigh); 95% CI [-0.15615379, 2.09143176]; sessions 18416; observations 735300; rank 29 | 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 · statistical tie | 1,488.47100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.00612479, 1498.93408698]; votes 3244; rank 8 | 1,474.4999% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18 |
| LiveBench2026-06-25 · overall · leader | 81.88100% of row best · percent · muse-spark-1.2-xhigh · 18,700 output tokens / case | 79.1597% of row best · percent · glm-5.3 · 62,090 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winTied overall | 1 benchmark winTied overall |
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 | Muse Spark 1.2 | GLM-5.3 |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Muse Spark | Glm 5 3 |
| Model | Muse Spark 1.2 | GLM-5.3 |
| Version | Muse Spark 1.2 | GLM-5.3 |
| Lifecycle | preview | active |
| Released | 2026-08-05 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | Unknown | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, computer-use, generation, reasoning, research, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools |
11 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Muse Spark 1.2 Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Muse Spark 1.2Meta | vs | Grok 4.6xAI | cross-developer peersimage, text |
Muse Spark 1.2Meta | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Muse Spark 1.2Meta | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Muse Spark 1.2Meta | cross-developer peersimage, text |
Muse Spark 1.2Meta | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Muse Spark 1.2Meta | cross-developer peersimage, text, video |
Muse Spark 1.2Meta | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
| vs | Muse Spark 1.2Meta | developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Muse Spark 1.2 vs GLM 5.3 FAQs
Is Muse Spark 1.2 or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.2 and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Spark 1.2 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, Muse Spark 1.2 or GLM 5.3?+
Neither model has a larger sourced context window in this comparison. Muse Spark 1.2 is — and GLM 5.3 is 1,000K.
Which performs better in benchmarks, Muse Spark 1.2 or GLM 5.3?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Muse Spark 1.2 or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.2 is not marked open weight; GLM 5.3 is not marked open weight.
Can Muse Spark 1.2 and GLM 5.3 understand images?+
Muse Spark 1.2 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, Muse Spark 1.2 or GLM 5.3?+
Neither has a larger sourced maximum output. Muse Spark 1.2 is — and GLM 5.3 is 131K.
Do Muse Spark 1.2 and GLM 5.3 support reasoning and tool use?+
Muse Spark 1.2: 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, Muse Spark 1.2 or GLM 5.3?+
Muse Spark 1.2 has 0 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Muse Spark 1.2 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.