L LLM Cloud Hub
Side-by-side comparison

Devstral 2 2512 vs R1 0528

Mistral

Devstral 2 2512

πŸ”§ Tools {} JSON
Input / 1M
$0.4000
Output / 1M
$2.0000
View Devstral 2 2512 β†’
DeepSeek

R1 0528

πŸ”§ Tools {} JSON
Input / 1M
$0.5000
Output / 1M
$2.1500
View R1 0528 β†’
Devstral 2 2512R1 0528
Provider Mistral DeepSeek
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 262,144 163,840
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). tools, json_mode tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.4000 0.5000
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 2.0000 2.1500

Frequently asked questions

Which is cheaper, Devstral 2 2512 or R1 0528?

Devstral 2 2512 is cheaper than R1 0528 on a 50/50 input/output blend by about $0.125 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, Devstral 2 2512 or R1 0528?

Devstral 2 2512 has the larger context window at 262k tokens versus 164k tokens for R1 0528. That means Devstral 2 2512 can ingest about 1.6x as much text per request.

What is the difference between Devstral 2 2512 and R1 0528?

Devstral 2 2512 comes from Mistral; R1 0528 comes from DeepSeek. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

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