Muse Spark 1.1 vs GLM 5.1
At a Glance
| Compare |  Muse Spark 1.1Meta |  GLM 5.1Z.ai |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.05Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.50Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 1,000K | 203K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Muse Spark 1.1 | GLM-5.1 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,480.17100% of row best · rating · muse-spark-1.1; 95% CI [1475.34892554, 1484.99642998]; votes 27615; rank 15 | 1,462.3899% of row best · rating · glm-5.1; 95% CI [1458.52340519, 1466.22702609]; votes 48901; rank 33 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Muse Spark 1.1 | GLM-5.1 |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Muse Spark | Glm 5 1 |
| Model | Muse Spark 1.1 | GLM-5.1 |
| Version | Muse Spark 1.1 | GLM-5.1 |
| Lifecycle | preview | active |
| Released | 2026-07-09 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 203K |
| Total parameters | Unknown | 753.9B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, computer-use, generation, reasoning, research, structured_outputs, tools | chat, generation, reasoning, tools |
Muse Spark 1.1 Capabilities
GLM 5.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Muse Spark 1.1 vs GLM 5.1 FAQs
Is Muse Spark 1.1 or GLM 5.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.1 and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Spark 1.1 or GLM 5.1?+
Only GLM 5.1 has a directly sourced input price: $1.05 per million tokens. Only GLM 5.1 has a directly sourced output price: $3.50 per million tokens.
Which has a larger context window, Muse Spark 1.1 or GLM 5.1?+
Muse Spark 1.1 has the larger sourced context window. Muse Spark 1.1 supports 1,000K and GLM 5.1 supports 203K.
Which performs better in benchmarks, Muse Spark 1.1 or GLM 5.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Muse Spark 1.1 or GLM 5.1 be self-hosted?+
GLM 5.1 is the only model in this pair currently marked as self-hostable. Muse Spark 1.1 is not marked open weight; GLM 5.1 is open weight.
Can Muse Spark 1.1 and GLM 5.1 understand images?+
Muse Spark 1.1 is documented with image input; GLM 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Spark 1.1 or GLM 5.1?+
Neither has a larger sourced maximum output. Muse Spark 1.1 is — and GLM 5.1 is —.
Do Muse Spark 1.1 and GLM 5.1 support reasoning and tool use?+
Muse Spark 1.1: reasoning, tool calling, and image input. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Spark 1.1 or GLM 5.1?+
Muse Spark 1.1 has 0 sourced provider routes; GLM 5.1 has 4, so GLM 5.1 has broader tracked availability.
Which offers better value, Muse Spark 1.1 or GLM 5.1?+
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.