Model comparison
Compare Mistral Small 4 and Falcon-H1R-7B using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Mistral Small 4Mistral AI | Mistral AI | $0.0012 |
| Falcon-H1R-7BTechnology Innovation Institute | Technology Innovation Institute | No reviewed rate |
Quick take
Mistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint.
Sparse activation lowers inference work but does not make the full 119B checkpoint small. Size hardware around the actual quantization and context you plan to serve.
TII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.
A long advertised context can consume far more memory than a normal 8K request. Validate quality and capacity at your actual context length rather than sizing from parameter count alone.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | Mistral Small 4 | Falcon-H1R-7B |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 256K tokens combined | Up to 262K in documented vLLM setup |
| Maximum outputProvider-published response limit, where available. | Not separately published | Up to 65,536 recommended |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | Not published | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $0.15 / 1M | Self-hosted compute |
| Output priceCurrent standard list price per million output tokens unless noted. | $0.60 / 1M | Self-hosted compute |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, agents, built-in tools, structured and predicted outputs | Function calling through supported serving templates |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Mistral's commercial terms exclude model training by default except when a customer opts in or uses designated Labs or preview models. Self-hosting keeps inference data under the operator's controls; hosted API retention is generally 30 days unless zero data retention is enabled.
Provider and API links
Self-hosted inference keeps requests under the operator's own infrastructure and data controls. A third-party host can introduce separate logging, retention, and training terms.
Provider and API links
Frequently asked questions
Mistral Small 4: Mistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint. Falcon-H1R-7B: TII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.
Consider Mistral Small 4 when your priority is Cost-sensitive production assistants. Consider Falcon-H1R-7B when your priority is Private reasoning assistants. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.
