API cost decision in 10 seconds

Muse Glimmer 30B vs LongCat 2.0

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-10-06T11:07:25Z Data confirmed: 2026-10-15T02:07:54Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickLongCat 2.0

Sample savings$00%

10x traffic gap$0

Context-window winner: LongCat 2.0. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Muse Glimmer 30B	LongCat 2.0
Input-heavy / RAG	5M input + 500K output	Tie	$2.1	$2.1
Balanced workload	1M input + 1M output	Tie	$1.5	$1.5
Output-heavy chatbot	1M input + 5M output	Tie	$6.3	$6.3

Cheaper input Tie $0.3 vs $0.3 / 1M

Both models report the same input price at $0.3 per 1M tokens.

Cheaper output Tie $1.2 vs $1.2 / 1M

Both models report the same output price at $1.2 per 1M tokens.

Larger context LongCat 2.0 131.07K vs 1.05M

LongCat 2.0 has 917.68K more context (8x larger).

Sample workload Tie $0.9 vs $0.9

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.9.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Muse Glimmer 30B Calculating… Estimated API cost

LongCat 2.0 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

both models tie on input price; both models tie on output price; LongCat 2.0 offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.9 for Muse Glimmer 30B and $0.9 for LongCat 2.0.

Best Fit

Choose Muse Glimmer 30B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose LongCat 2.0 when you care most about larger context window.

Decision Notes

Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.9.
Both models report the same input price at $0.3 per 1M tokens.
Both models report the same output price at $1.2 per 1M tokens.
LongCat 2.0 has 917.68K more context (8x larger).

Head-to-Head Specs

Feature	Muse Glimmer 30B (Meta)	LongCat 2.0 (Meituan)
Input Price prompt tokens per 1M	$0.3	$0.3
Completion Price per 1M tokens	$1.2	$1.2
Sample Workload Cost 1M input + 500K output	$0.9	$0.9
Context Window	131.07K	1.05M
Release Date	2026-08-09	2026-07-20

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	LongCat 2.0	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Llama 3.3 70B Instruct (free) can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.
Llama 3.2 3B Instruct (free) can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.
Llama 3.1 8B Instruct can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.09.
Llama 3.2 1B Instruct can replace Muse Glimmer 30B when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

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Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Meta catalog

Review all tracked Meta models before deciding whether this matchup is the right shortlist.

Open Meta models

Meituan catalog

Check other Meituan models with comparable pricing, context, or release timing.

Open Meituan models

Muse Glimmer 30B

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

LongCat 2.0

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...