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

Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need to fit long inputs in one request, Meta: Muse Glimmer 30B (batch) when cost matters at scale.

Key numbers

SpecGoogle: Gemini 2.5 Flash (batch)Meta: Muse Glimmer 30B (batch)
ProviderGoogleMeta
Input price (per 1M tokens)$0.15$0.17
Output price (per 1M tokens)$1.25$0.75
Blended price (3:1 input/output)$0.42$0.32
Cheaper than … of all models we track56%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 typesfile, image, text, audio, videotext, image
Output typestexttext
Free variantNoNo
Listed since2025-06-172026-08-09
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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 (batch)Meta: Muse Glimmer 30B (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$36.25$28.12Meta: Muse Glimmer 30B (batch) saves $8.13
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$30.50$28.50Meta: Muse Glimmer 30B (batch) saves $2.00
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)
$33.00$30.00Meta: Muse Glimmer 30B (batch) saves $3.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$19.50$18.50Meta: Muse Glimmer 30B (batch) saves $1.00
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$8.75$9.50Google: Gemini 2.5 Flash (batch) saves $0.75

Capabilities side by side

CapabilityGoogle: Gemini 2.5 Flash (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 (batch) if…

  • 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…

  • cost matters at scale — it is 25% cheaper on a typical 3:1 input/output mix ($28.12 vs $36.25 a month for 50,000 support chats)
  • you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 2.5 Flash (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, 14 months after the other

Frequently asked questions

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

Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need to fit long inputs in one request, Meta: Muse Glimmer 30B (batch) when cost matters at scale. In short: Google: Gemini 2.5 Flash (batch) when 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 cost matters at scale, you need log-probabilities, you generate long outputs in one go, you want the newer model.

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

Meta: Muse Glimmer 30B (batch) is cheaper: $0.32 vs $0.42 per 1M tokens at a typical 3:1 input/output mix, 25% less. For 50,000 support conversations a month that is $28.12 against $36.25.

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

Google: Gemini 2.5 Flash (batch) costs $0.15 per 1M input tokens and $1.25 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 (batch) or Meta: Muse Glimmer 30B (batch)?

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

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

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

Yes, both accept image input.

Is Google: Gemini 2.5 Flash (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 (batch) and Meta: Muse Glimmer 30B (batch)?

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

Google: Gemini 2.5 Flash (batch) was listed on 2025-06-17; Meta: Muse Glimmer 30B (batch) on 2026-08-09.

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

Google: Gemini 2.5 Flash (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 (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
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