GLM 4.6 vs Muse Spark Open: which is better for agents?

Muse Spark Open scores higher on output quality (7.0/10 vs 4.8/10), while GLM 4.6 is the cheaper option. GLM 4.6 is best for short-context coding tasks on a tight budget; Muse Spark Open is best for trying Meta's open-weight coding model through OpenRouter, or self-hosting it where code must stay on your own hardware. Live community votes on this page show what people actually prefer.

Is GLM 4.6 cheaper than Muse Spark Open?

GLM 4.6 is cheaper: roughly $0.95 vs $2.15 per 1M tokens (blended). GLM 4.6: $0.50 in · $2.00 out / 1M tokens. Muse Spark Open: $1.25 in · $4.25 out / 1M tokens.

Can I switch between GLM 4.6 and Muse Spark Open in the same agent?

Yes. Model-agnostic agents (Cline, Aider, OpenClaw, Hermes Agent, Kilo Code, OpenCode) let you swap models per task. Many people route hard tasks to the stronger model and routine work to the cheaper one.

GLM 4.6 vs Muse Spark Open: Which AI Model Is Better? (2026)

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality

Correctness and depth of what it produces

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec

GLM 4.6

Muse Spark Open

Maker

Z.AI

Verdict: GLM 4.6 or Muse Spark Open?

Updated 2026-10-16

Choose GLM 4.6 if you want short-context coding tasks on a tight budget. Choose Muse Spark Open if you want trying Meta's open-weight coding model through OpenRouter, or self-hosting it where code must stay on your own hardware.

In our editorial scoring, Muse Spark Open leads in 3 of five dimensions (output quality, agentic ability and speed), while GLM 4.6 leads in 2. On price, GLM 4.6 runs about $0.95 per 1M tokens (blended) and is open-weight; Muse Spark Open is about $2.15 and open-weight.

Where GLM 4.6 falls short

202K context, smaller than 19.7% of the coding-agent requests we measured
Superseded by the GLM 5 line; GLM 5.3 scores far higher

Full GLM 4.6 breakdown →

Where Muse Spark Open falls short

No independent agent benchmark results yet; the published figures are Meta's own
Self-hosting needs at least 700 GB of GPU memory in NVFP4 (2 TB in BF16), per Meta's model card

Full Muse Spark Open breakdown →

Current Claude, GPT, Gemini and open models run on Standard Compute

Standard Compute

Current frontier models Claude Fable 5.1 · GPT-6 Astra