ModelsAtlas
Explore

Google: Gemini 2.5 Flash Lite (batch) vs Meta: Muse Glimmer 30B (batch)

Neither wins outright: Google: Gemini 2.5 Flash Lite (batch) is the pick when cost matters at scale, Meta: Muse Glimmer 30B (batch) when you need log-probabilities.

Key numbers

SpecGoogle: Gemini 2.5 Flash Lite (batch)Meta: Muse Glimmer 30B (batch)
ProviderGoogleMeta
Input price (per 1M tokens)$0.05$0.17
Output price (per 1M tokens)$0.20$0.75
Blended price (3:1 input/output)$0.09$0.32
Cheaper than … of all models we track82%62%
Context window1.0M tokens (~1,573 pages)131K tokens (~197 pages)
Larger context than … of all models81%23%
Max output per response66K tokens (~49,200 words)118K tokens (~88,500 words)
Input typestext, image, file, audio, videotext, image
Output typestexttext
Free variantNoNo
Listed since2025-07-222026-08-09
Advertisement

What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Google: Gemini 2.5 Flash Lite (batch)Meta: Muse Glimmer 30B (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$7.75$28.12Google: Gemini 2.5 Flash Lite (batch) saves $20.37
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$8.00$28.50Google: Gemini 2.5 Flash Lite (batch) saves $20.50
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$8.40$30.00Google: Gemini 2.5 Flash Lite (batch) saves $21.60
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$5.20$18.50Google: Gemini 2.5 Flash Lite (batch) saves $13.30
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.70$9.50Google: Gemini 2.5 Flash Lite (batch) saves $6.80

Capabilities side by side

CapabilityGoogle: Gemini 2.5 Flash Lite (batch)Meta: Muse Glimmer 30B (batch)What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input✓ Yes—take speech or audio directly
File / PDF input✓ Yes—accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)✓ Yes—repeat a generation for tests and evals
Log-probabilities—✓ Yesread token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

DateModelInput / 1MOutput / 1M
2026-09-09Meta: Muse Glimmer 30B (batch)$0.17$0.75

Which should you choose?

Choose Google: Gemini 2.5 Flash Lite (batch) if…

  • cost matters at scale — it is 73% cheaper on a typical 3:1 input/output mix ($7.75 vs $28.12 a month for 50,000 support chats)
  • you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 pages, against 197
  • you need audio input — to take speech or audio directly; Meta: Muse Glimmer 30B (batch) does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; Meta: Muse Glimmer 30B (batch) does not advertise it
  • you need built-in web search — to answer from live web results; Meta: Muse Glimmer 30B (batch) does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; Meta: Muse Glimmer 30B (batch) does not advertise it

Choose Meta: Muse Glimmer 30B (batch) if…

  • you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 2.5 Flash Lite (batch) does not advertise it
  • you generate long outputs in one go — up to 118K tokens (about 88,500 words) per response
  • you want the newer model — released 2026-08-09, 13 months after the other

Frequently asked questions

Is Google: Gemini 2.5 Flash Lite (batch) better than Meta: Muse Glimmer 30B (batch)?

Neither wins outright: Google: Gemini 2.5 Flash Lite (batch) is the pick when cost matters at scale, Meta: Muse Glimmer 30B (batch) when you need log-probabilities. In short: Google: Gemini 2.5 Flash Lite (batch) when cost matters at scale, you need to fit long inputs in one request, you need audio input, you need file / PDF input, you need built-in web search, you need seed (reproducible sampling); Meta: Muse Glimmer 30B (batch) when you need log-probabilities, you generate long outputs in one go, you want the newer model.

Which is cheaper, Google: Gemini 2.5 Flash Lite (batch) or Meta: Muse Glimmer 30B (batch)?

Google: Gemini 2.5 Flash Lite (batch) is cheaper: $0.09 vs $0.32 per 1M tokens at a typical 3:1 input/output mix, 73% less. For 50,000 support conversations a month that is $7.75 against $28.12.

How much do Google: Gemini 2.5 Flash Lite (batch) and Meta: Muse Glimmer 30B (batch) cost per million tokens?

Google: Gemini 2.5 Flash Lite (batch) costs $0.05 per 1M input tokens and $0.20 per 1M output tokens; Meta: Muse Glimmer 30B (batch) costs $0.17 input and $0.75 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 2.5 Flash Lite (batch) or Meta: Muse Glimmer 30B (batch)?

Google: Gemini 2.5 Flash Lite (batch): 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for Meta: Muse Glimmer 30B (batch).

Do Google: Gemini 2.5 Flash Lite (batch) and Meta: Muse Glimmer 30B (batch) support function calling and JSON output?

Tool calling — Google: Gemini 2.5 Flash Lite (batch): yes, Meta: Muse Glimmer 30B (batch): yes. JSON-schema structured output — Google: Gemini 2.5 Flash Lite (batch): yes, Meta: Muse Glimmer 30B (batch): yes.

Can Google: Gemini 2.5 Flash Lite (batch) or Meta: Muse Glimmer 30B (batch) read images?

Yes, both accept image input.

Is Google: Gemini 2.5 Flash Lite (batch) or Meta: Muse Glimmer 30B (batch) free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Google: Gemini 2.5 Flash Lite (batch) and Meta: Muse Glimmer 30B (batch)?

Google: Gemini 2.5 Flash Lite (batch) can write up to 66K tokens (about 49,200 words) per response; Meta: Muse Glimmer 30B (batch) up to 118K (about 88,500 words).

When were Google: Gemini 2.5 Flash Lite (batch) and Meta: Muse Glimmer 30B (batch) released?

Google: Gemini 2.5 Flash Lite (batch) was listed on 2025-07-22; Meta: Muse Glimmer 30B (batch) on 2026-08-09.

Has the price of Google: Gemini 2.5 Flash Lite (batch) or Meta: Muse Glimmer 30B (batch) changed?

Google: Gemini 2.5 Flash Lite (batch): price unchanged since we started tracking it on 2026-08-07. Meta: Muse Glimmer 30B (batch): input price cut 50% ($0.35 → $0.17/1M), output price cut 50% ($1.50 → $0.75/1M) on 2026-09-09.

About the two models

Compare Google: Gemini 2.5 Flash Lite (batch) with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0

Compare Meta: Muse Glimmer 30B (batch) with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
Advertisement