Qwen3.5-35B-A3B vs Muse Glimmer 30B
Benchmark Performance
Available Benchmarks
| Benchmark | Qwen3.5-35B-A3B | Muse Glimmer 30B |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,395.60100% of row best · rating · qwen3.5-35b-a3b; 95% CI [1391.30285568, 1399.90287908]; votes 29067; rank 143 | 1,391.91100% of row best · rating · muse-glimmer; 95% CI [1382.01378668, 1401.79860600]; votes 3696; rank 148 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark winsTied overall | 0 benchmark winsTied 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 | Qwen3.5-35B-A3B | Muse Glimmer 30B |
|---|---|---|
| Developer | Qwen | Meta |
| Family | Qwen3 5 35b A3b | Muse Glimmer |
| Model | Qwen3.5-35B-A3B | Muse Glimmer 30B |
| Version | Qwen3.5-35B-A3B | Muse Glimmer 30B |
| Lifecycle | active | active |
| Released | Unknown | 2026-08-09 |
| Knowledge cutoff | Unknown | 2026-01-04 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262,144 | 131,072 |
| Total parameters | 35,951,822,704 | 29,776,626,688 |
| Active parameters | 3,000,000,000 | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
15 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Qwen3.5-35B-A3B Capabilities
Muse Glimmer 30B Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Qwen3.5-35B-A3BQwen | vs | Qwen3.8-27BQwen | family variantsimage, text |
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text | |
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text | |
 Gemma 4 12BGoogle Deepmind | vs | Muse Glimmer 30BMeta | cross-developer peersimage, text |
Muse Spark 1.1Meta | vs | Muse Glimmer 30BMeta | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs |  Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
| vs | Muse Glimmer 30BMeta | cross-developer peersimage, text | |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-14B-Instruct-2512Mistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-8B-Instruct-2512Mistral AI | cross-developer peersimage, text |
 MolmoWeb 8BAi2 | vs | Muse Glimmer 30BMeta | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-14B-Base-2512Mistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5-35B-A3B vs Muse Glimmer 30B FAQs
Is Qwen3.5-35B-A3B or Muse Glimmer 30B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5-35B-A3B and Muse Glimmer 30B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5-35B-A3B or Muse Glimmer 30B?+
Qwen3.5-35B-A3B is $0.14 and Muse Glimmer 30B is $0.30 per million tokens, so Qwen3.5-35B-A3B is cheaper on this metric. Qwen3.5-35B-A3B is $1.00 and Muse Glimmer 30B is $1.20 per million tokens, so Qwen3.5-35B-A3B is cheaper on this metric.
Which has a larger context window, Qwen3.5-35B-A3B or Muse Glimmer 30B?+
Qwen3.5-35B-A3B has the larger sourced context window. Qwen3.5-35B-A3B supports 262,144 and Muse Glimmer 30B supports 131,072.
Which performs better in benchmarks, Qwen3.5-35B-A3B or Muse Glimmer 30B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5-35B-A3B or Muse Glimmer 30B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5-35B-A3B is open weight; Muse Glimmer 30B is open weight.
Can Qwen3.5-35B-A3B and Muse Glimmer 30B understand images?+
Qwen3.5-35B-A3B is documented with image input; Muse Glimmer 30B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5-35B-A3B or Muse Glimmer 30B?+
Neither has a larger sourced maximum output. Qwen3.5-35B-A3B is — and Muse Glimmer 30B is —.
Do Qwen3.5-35B-A3B and Muse Glimmer 30B support reasoning and tool use?+
Qwen3.5-35B-A3B: reasoning, tool calling, and image input. Muse Glimmer 30B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5-35B-A3B or Muse Glimmer 30B?+
Qwen3.5-35B-A3B has 4 sourced provider routes; Muse Glimmer 30B has 3, so Qwen3.5-35B-A3B has broader tracked availability.
Which offers better value, Qwen3.5-35B-A3B or Muse Glimmer 30B?+
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.