Muse Spark 1.3 vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Muse Spark 1.3 | 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 | Muse Spark 1.3 | GLM-5.3 |
|---|---|---|
| LiveBench2026-06-25 · overall · leader | 85.47100% of row best · percent · muse-spark-1.3-xhigh · 28,234 output tokens / case | 79.1593% of row best · percent · glm-5.3 · 62,090 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winOverall lead | 0 benchmark wins |
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 1.3 | GLM-5.3 |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Muse Spark | Glm 5 3 |
| Model | Muse Spark 1.3 | GLM-5.3 |
| Version | Muse Spark 1.3 | GLM-5.3 |
| Lifecycle | preview | active |
| Released | 2026-09-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | 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, tools | agents, chat, reasoning, structured_outputs, tools |
11 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Muse Spark 1.3 Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Muse Spark 1.3Meta | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Muse Spark 1.3Meta | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Muse Spark 1.3Meta | cross-developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | Muse Spark 1.3Meta | cross-developer peerstext |
Muse Spark 1.3Meta | vs | Grok 4.6xAI | cross-developer peersimage, text |
Muse Spark 1.3Meta | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Muse Spark 1.3Meta | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Muse Spark 1.3Meta | cross-developer peersimage, text |
Muse Spark 1.3Meta | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Muse Spark 1.3Meta | cross-developer peersimage, text, video |
Muse Spark 1.3Meta | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
| vs | Muse Spark 1.3Meta | developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Muse Spark 1.3 vs GLM 5.3 FAQs
Is Muse Spark 1.3 or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.3 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 1.3 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 1.3 or GLM 5.3?+
Neither model has a larger sourced context window in this comparison. Muse Spark 1.3 is — and GLM 5.3 is 1,000K.
Which performs better in benchmarks, Muse Spark 1.3 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 Muse Spark 1.3 or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.3 is not marked open weight; GLM 5.3 is not marked open weight.
Can Muse Spark 1.3 and GLM 5.3 understand images?+
Muse Spark 1.3 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 1.3 or GLM 5.3?+
Neither has a larger sourced maximum output. Muse Spark 1.3 is — and GLM 5.3 is 131K.
Do Muse Spark 1.3 and GLM 5.3 support reasoning and tool use?+
Muse Spark 1.3: 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 1.3 or GLM 5.3?+
Muse Spark 1.3 has 0 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Muse Spark 1.3 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.