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Models · DeepSeek · Out sinceReleased 1 Dec 2025

DeepSeek V3.2

Available on OpenRouterOn OpenRouterAvailable nowGenerally availableClosed (can't be downloaded)Proprietary

DeepSeek V3.2 is made by DeepSeek. We don't have enough test results yet to rank it. It's cheap to use.

Auto-created from OpenRouter catalog; verify details.

Writing & creativity
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Research & analysis
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Coding
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Price
Cheap$0.28 / $0.42
Price per 1M (blended)Blended / 1M
$0.32
MemoryContext
164K
Longest answerMax output
—
Test resultsResults
3 (3 independent3 indep.)
Out sinceReleased
1 Dec 2025
Made byVendor
DeepSeek
UnderstandsInputs
—

Scores are out of 100 for each area, compared with every model we track; “#” is its rank. Context is how much text it can read at once (1M is roughly 700,000 words). Blended price mixes the cost of what you send and what it writes back.

Thinking levels

Reasoning settings

You can't choose how long this one thinks.

No adjustable reasoning setting listed.

Read more

Links

Using it through OpenRouter

On OpenRouter

OpenRouter is a service that gives access to many AI models in one place. This model is listed there as deepseek/deepseek-v3.2.

Route it as deepseek/deepseek-v3.2 at $0.28 in / $0.42 out per 1M tokens, 164K context. Listed since 1 Dec 2025.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Every test result

Every result

All the numbers,with where they came from.

Every result we've found for this model, with who measured it and a link to where we read it.

All raw rows (vendor and independent kept separate), with setting label, source, date, harness and notes.

All results for this model
NotesNotes
SWE-bench Multilingual59.0%DefaultIndependent testIndependentSWE-bench ↗13 Feb 2026mini-SWE-agent 2.0.0a0Official SWE-bench bash-only (mini-SWE-agent) run; data file https://raw.githubusercontent.com/SWE-bench/swe-bench.github.io/master/data/leaderboards.json; leaderboard not updated since 2026-02-26
SWE-bench Verified (bash-only, mini-SWE-agent)70.0%HighIndependent testIndependentSWE-bench ↗17 Feb 2026mini-SWE-agent 2.0.0Official SWE-bench bash-only (mini-SWE-agent) run; data file https://raw.githubusercontent.com/SWE-bench/swe-bench.github.io/master/data/leaderboards.json; leaderboard not updated since 2026-02-26
Vectara Hallucination Leaderboard (HHEM)6.3%Defaultdeepseek-ai/DeepSeek-V3.2Independent testIndependentVectara ↗22 Sep 2026—factual consistency 93.7 %; answer rate 92.6 %; avg summary 62.0 words; HHEM-2.3 judge; effort not stated (API default)