Choose Cohere: Command R7B (12-2024) if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Cohere: Command R7B (12-2024) vs Inference.net: Schematron V2 Turbo
Inference.net: Schematron V2 Turbo comes out ahead on the data we track: 2 advantages and none for Cohere: Command R7B (12-2024).
Key numbers
| Spec | Cohere: Command R7B (12-2024) | Inference.net: Schematron V2 Turbo |
|---|---|---|
| Provider | Cohere | Inference.net |
| Input price (per 1M tokens) | $0.04 | $0.03 |
| Output price (per 1M tokens) | $0.15 | $0.15 |
| Blended price (3:1 input/output) | $0.07 | $0.06 |
| Cheaper than … of all models we track | 85% | 86% |
| Context window | 128K tokens (~192 pages) | 128K tokens (~192 pages) |
| Larger context than … of all models | 14% | 14% |
| Max output per response | 4K tokens (~3,000 words) | 8K tokens (~6,100 words) |
| Input types | text | text |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2024-12-14 | 2026-09-12 |
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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) | Cohere: Command R7B (12-2024) | Inference.net: Schematron V2 Turbo | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $5.81 | $5.25 | Inference.net: Schematron V2 Turbo saves $0.56 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $6.00 | $5.10 | Inference.net: Schematron V2 Turbo saves $0.90 |
| 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) | $6.30 | $5.40 | Inference.net: Schematron V2 Turbo saves $0.90 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $3.90 | $3.30 | Inference.net: Schematron V2 Turbo saves $0.60 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $2.02 | $1.65 | Inference.net: Schematron V2 Turbo saves $0.38 |
Capabilities side by side
| Capability | Cohere: Command R7B (12-2024) | Inference.net: Schematron V2 Turbo | What it lets you do |
|---|---|---|---|
| Tool / function calling | — | — | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | — | — | 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 | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | 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
- Cohere: Command R7B (12-2024): price unchanged since we started tracking it on 2026-03-10.
- Inference.net: Schematron V2 Turbo: price unchanged since we started tracking it on 2026-09-12.
Which should you choose?
Choose Inference.net: Schematron V2 Turbo if…
- you generate long outputs in one go — up to 8K tokens (about 6,100 words) per response
- you want the newer model — released 2026-09-12, 21 months after the other
Frequently asked questions
Is Cohere: Command R7B (12-2024) better than Inference.net: Schematron V2 Turbo?
Inference.net: Schematron V2 Turbo comes out ahead on the data we track: 2 advantages and none for Cohere: Command R7B (12-2024).
Which is cheaper, Cohere: Command R7B (12-2024) or Inference.net: Schematron V2 Turbo?
Inference.net: Schematron V2 Turbo is cheaper: $0.06 vs $0.07 per 1M tokens at a typical 3:1 input/output mix, 9% less. For 50,000 support conversations a month that is $5.25 against $5.81.
How much do Cohere: Command R7B (12-2024) and Inference.net: Schematron V2 Turbo cost per million tokens?
Cohere: Command R7B (12-2024) costs $0.04 per 1M input tokens and $0.15 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, Cohere: Command R7B (12-2024) or Inference.net: Schematron V2 Turbo?
Both take 128K tokens per request — roughly 192 pages of text.
Do Cohere: Command R7B (12-2024) and Inference.net: Schematron V2 Turbo support function calling and JSON output?
Tool calling — Cohere: Command R7B (12-2024): not advertised, Inference.net: Schematron V2 Turbo: not advertised. JSON-schema structured output — Cohere: Command R7B (12-2024): yes, Inference.net: Schematron V2 Turbo: yes.
Can Cohere: Command R7B (12-2024) or Inference.net: Schematron V2 Turbo read images?
Neither accepts image input — both are text-in models.
Is Cohere: Command R7B (12-2024) 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 Cohere: Command R7B (12-2024) and Inference.net: Schematron V2 Turbo?
Cohere: Command R7B (12-2024) can write up to 4K tokens (about 3,000 words) per response; Inference.net: Schematron V2 Turbo up to 8K (about 6,100 words).
When were Cohere: Command R7B (12-2024) and Inference.net: Schematron V2 Turbo released?
Cohere: Command R7B (12-2024) was listed on 2024-12-14; Inference.net: Schematron V2 Turbo on 2026-09-12.
About the two models
Cohere: Command R7B (12-2024)
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
Full Cohere: Command R7B (12-2024) specs →Inference.net: Schematron V2 Turbo
Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...
Full Inference.net: Schematron V2 Turbo specs →