DeepSeek: DeepSeek V4.1 Flash (batch) comes out ahead on the data we track: 4 advantages and none for Meta: Muse Glimmer 30B (batch).
| Spec | DeepSeek: DeepSeek V4.1 Flash (batch) | Meta: Muse Glimmer 30B (batch) |
|---|---|---|
| Provider | DeepSeek | Meta |
| Input price (per 1M tokens) | $0.05 | $0.17 |
| Output price (per 1M tokens) | $0.15 | $0.75 |
| Blended price (3:1 input/output) | $0.08 | $0.32 |
| Cheaper than … of all models we track | 83% | 62% |
| Context window | 1.0M tokens (~1,573 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 81% | 23% |
| Max output per response | 384K tokens (~288,000 words) | 118K tokens (~88,500 words) |
| Input types | text, image | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-09-10 | 2026-08-09 |
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) | DeepSeek: DeepSeek V4.1 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) | $6.75 | $28.12 | DeepSeek: DeepSeek V4.1 Flash (batch) saves $21.37 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $7.50 | $28.50 | DeepSeek: DeepSeek V4.1 Flash (batch) saves $21.00 |
| 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) | $7.80 | $30.00 | DeepSeek: DeepSeek V4.1 Flash (batch) saves $22.20 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $4.90 | $18.50 | DeepSeek: DeepSeek V4.1 Flash (batch) saves $13.60 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $2.65 | $9.50 | DeepSeek: DeepSeek V4.1 Flash (batch) saves $6.85 |
| Capability | DeepSeek: DeepSeek V4.1 Flash (batch) | Meta: Muse Glimmer 30B (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | — | repeat a generation for tests and evals |
| Log-probabilities | ✓ Yes | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-10-17 | DeepSeek: DeepSeek V4.1 Flash (batch) | $0.05 | $0.15 |
| 2026-09-09 | Meta: Muse Glimmer 30B (batch) | $0.17 | $0.75 |
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
DeepSeek: DeepSeek V4.1 Flash (batch) comes out ahead on the data we track: 4 advantages and none for Meta: Muse Glimmer 30B (batch).
DeepSeek: DeepSeek V4.1 Flash (batch) is cheaper: $0.08 vs $0.32 per 1M tokens at a typical 3:1 input/output mix, 76% less. For 50,000 support conversations a month that is $6.75 against $28.12.
DeepSeek: DeepSeek V4.1 Flash (batch) costs $0.05 per 1M input tokens and $0.15 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.
DeepSeek: DeepSeek V4.1 Flash (batch): 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for Meta: Muse Glimmer 30B (batch).
Tool calling — DeepSeek: DeepSeek V4.1 Flash (batch): yes, Meta: Muse Glimmer 30B (batch): yes. JSON-schema structured output — DeepSeek: DeepSeek V4.1 Flash (batch): yes, Meta: Muse Glimmer 30B (batch): yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
DeepSeek: DeepSeek V4.1 Flash (batch) can write up to 384K tokens (about 288,000 words) per response; Meta: Muse Glimmer 30B (batch) up to 118K (about 88,500 words).
DeepSeek: DeepSeek V4.1 Flash (batch) was listed on 2026-09-10; Meta: Muse Glimmer 30B (batch) on 2026-08-09.
DeepSeek: DeepSeek V4.1 Flash (batch): input price cut 55% ($0.11 → $0.05/1M), output price cut 55% ($0.34 → $0.15/1M) on 2026-10-17. 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.
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Full DeepSeek: DeepSeek V4.1 Flash (batch) specs →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...
Full Meta: Muse Glimmer 30B (batch) specs →