ModelsAtlas
Explore

DeepSeek: DeepSeek V3.2 vs Inference.net: Schematron V2 Turbo

Neither wins outright: DeepSeek: DeepSeek V3.2 is the pick when you need tool / function calling, Inference.net: Schematron V2 Turbo when cost matters at scale.

Key numbers

SpecDeepSeek: DeepSeek V3.2Inference.net: Schematron V2 Turbo
ProviderDeepSeekInference.net
Input price (per 1M tokens)$0.28$0.03
Output price (per 1M tokens)$0.42$0.15
Blended price (3:1 input/output)$0.32$0.06
Cheaper than … of all models we track63%86%
Context window164K tokens (~246 pages)128K tokens (~192 pages)
Larger context than … of all models35%14%
Max output per response66K tokens (~49,200 words)8K tokens (~6,100 words)
Input typestexttext
Output typestexttext
Free variantNoNo
Listed since2025-12-012026-09-12
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)DeepSeek: DeepSeek V3.2Inference.net: Schematron V2 TurboDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$29.40$5.25Inference.net: Schematron V2 Turbo saves $24.15
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$37.80$5.10Inference.net: Schematron V2 Turbo saves $32.70
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)
$38.64$5.40Inference.net: Schematron V2 Turbo saves $33.24
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$24.92$3.30Inference.net: Schematron V2 Turbo saves $21.62
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$14.42$1.65Inference.net: Schematron V2 Turbo saves $12.77

Capabilities side by side

CapabilityDeepSeek: DeepSeek V3.2Inference.net: Schematron V2 TurboWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes—spend extra tokens thinking before answering hard problems
Image input——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✓ Yesrepeat a generation for tests and evals
Log-probabilities✓ Yes—read 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
2026-10-18DeepSeek: DeepSeek V3.2$0.28$0.42
2026-10-11DeepSeek: DeepSeek V3.2$0.26$0.80
2026-10-08DeepSeek: DeepSeek V3.2$0.26$0.42
2026-09-28DeepSeek: DeepSeek V3.2$0.28$0.42
2026-08-31DeepSeek: DeepSeek V3.2$0.27$0.40
2026-08-22DeepSeek: DeepSeek V3.2$0.26$0.38
2026-08-10DeepSeek: DeepSeek V3.2$0.27$0.40
2026-08-08DeepSeek: DeepSeek V3.2$0.26$0.38

Which should you choose?

Choose DeepSeek: DeepSeek V3.2 if…

  • you need tool / function calling — to call your APIs and run agent loops; Inference.net: Schematron V2 Turbo does not advertise it
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Inference.net: Schematron V2 Turbo does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; Inference.net: Schematron V2 Turbo does not advertise it
  • you generate long outputs in one go — up to 66K tokens (about 49,200 words) per response

Choose Inference.net: Schematron V2 Turbo if…

  • cost matters at scale — it is 81% cheaper on a typical 3:1 input/output mix ($5.25 vs $29.40 a month for 50,000 support chats)
  • you want the newer model — released 2026-09-12, 10 months after the other

Frequently asked questions

Is DeepSeek: DeepSeek V3.2 better than Inference.net: Schematron V2 Turbo?

Neither wins outright: DeepSeek: DeepSeek V3.2 is the pick when you need tool / function calling, Inference.net: Schematron V2 Turbo when cost matters at scale. In short: DeepSeek: DeepSeek V3.2 when you need tool / function calling, you need reasoning / thinking mode, you need log-probabilities, you generate long outputs in one go; Inference.net: Schematron V2 Turbo when cost matters at scale, you want the newer model.

Which is cheaper, DeepSeek: DeepSeek V3.2 or Inference.net: Schematron V2 Turbo?

Inference.net: Schematron V2 Turbo is cheaper: $0.06 vs $0.32 per 1M tokens at a typical 3:1 input/output mix, 81% less. For 50,000 support conversations a month that is $5.25 against $29.40.

How much do DeepSeek: DeepSeek V3.2 and Inference.net: Schematron V2 Turbo cost per million tokens?

DeepSeek: DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens; Inference.net: Schematron V2 Turbo costs $0.03 input and $0.15 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, DeepSeek: DeepSeek V3.2 or Inference.net: Schematron V2 Turbo?

DeepSeek: DeepSeek V3.2: 164K tokens, about 246 pages, against 128K (about 192 pages) for Inference.net: Schematron V2 Turbo.

Do DeepSeek: DeepSeek V3.2 and Inference.net: Schematron V2 Turbo support function calling and JSON output?

Tool calling — DeepSeek: DeepSeek V3.2: yes, Inference.net: Schematron V2 Turbo: not advertised. JSON-schema structured output — DeepSeek: DeepSeek V3.2: yes, Inference.net: Schematron V2 Turbo: yes.

Can DeepSeek: DeepSeek V3.2 or Inference.net: Schematron V2 Turbo read images?

Neither accepts image input — both are text-in models.

Is DeepSeek: DeepSeek V3.2 or Inference.net: Schematron V2 Turbo free to use?

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

What is the maximum output length of DeepSeek: DeepSeek V3.2 and Inference.net: Schematron V2 Turbo?

DeepSeek: DeepSeek V3.2 can write up to 66K tokens (about 49,200 words) per response; Inference.net: Schematron V2 Turbo up to 8K (about 6,100 words).

When were DeepSeek: DeepSeek V3.2 and Inference.net: Schematron V2 Turbo released?

DeepSeek: DeepSeek V3.2 was listed on 2025-12-01; Inference.net: Schematron V2 Turbo on 2026-09-12.

Has the price of DeepSeek: DeepSeek V3.2 or Inference.net: Schematron V2 Turbo changed?

DeepSeek: DeepSeek V3.2: input price raised 8% ($0.26 → $0.28/1M), output price cut 48% ($0.80 → $0.42/1M) on 2026-10-18 (10 price changes since 2026-03-10). Inference.net: Schematron V2 Turbo: price unchanged since we started tracking it on 2026-09-12.

About the two models

DeepSeek

DeepSeek: DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Full DeepSeek: DeepSeek V3.2 specs →

Compare DeepSeek: DeepSeek V3.2 with other models

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

Compare Inference.net: Schematron V2 Turbo with other models

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