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DeepSeek V3.2

deepseek/deepseek-v3.2
  • DeepSeek
  • Family · DeepSeek V3
  • Released 1 Dec 2025
  • Open weights
  • Text → Text
  • Tools · JSON
Not on OSMEXO yet
Spec & list price
Context160K
Max output144K
Input / 1M$0.26
Output / 1M$0.381.5× input
Scores · standing
Intelligence21.5#127/489
Coding44.2#81/196
Usage
Tokens / day38.7B▼ 1.5% 7d
Usage rank#55
Requests / day3.3M
Tool calls / req0.02
Per request · 30 days
Avg input6.4K0.4× median
Avg output4560.7× median
Cache hit55%0.8× median
Reasoning share25%0.4× median
Tool-call failures1.1%0.6× median

Consumption

20.0B40.0B60.0B2 Oct16 Oct31 Oct
Peak 58.3B 1 OctLow 24.8B 31 OctRank today #55

News & trends

5 mentions this week ▼ 17%this model · videos, posts, articles · 30 days
Trending · 14 days · DeepSeek V3 family
News · latest from DeepSeek

Benchmarks

bar = share of the top score · Benchmark data: Artificial Analysis
MMLU-Pro#14 of 273
86.2%
LiveCodeBench#10 of 269
86.2%
AIME 2025#16 of 206
92.0%
Math index#16 of 206
92.0
τ²-Bench#49 of 319
90.6%
GPQA Diamond#106 of 445
84.0%
Long-context reasoning#115 of 393
73.3%
IFBench#99 of 328
60.7%
Speed · median across 9 providers, latest day
Output speed#302/33326 tok/s2.6× slower than median
Fastest provider59 tok/sbest of 9 providers
First token#2582.11 s2.1× longer than median

#4 cheapest of 29 with a similar score

Value
Intelligence Index
51015202530$0.2$0.5$1$2DeepSeek V3.2
Blended price per 1M tokens (log)
Family progress
Intelligence Index
5101520252025MarMayJulSepNovDeepSeek V3.2
  • Family releases21.5

Technical details

Tokenizer
DeepSeek
License
MIT
Parameters
685B
Moderation
none
Downloads · likes
6.4M · 1.6K
Request parameters 19
  • tools
  • tool_choice
  • response_format
  • structured_outputs
  • reasoning
  • include_reasoning
  • temperature
  • top_p
  • top_k
  • min_p
+9 more
  • max_tokens
  • stop
  • seed
  • frequency_penalty
  • logit_bias
  • logprobs
  • presence_penalty
  • repetition_penalty
  • top_logprobs

Interesting facts

  1. The most used of 5 DeepSeek V3 models by tokens last month.
  2. Released 335 days ago, the newest of 5 DeepSeek V3 models.
  3. 1.5× the output room of similar models (147.5K against a 96.8K median).
  4. Weekdays average 44.4B tokens a day against 44.8B on weekends.

When to use

Best for

  • Coding help and competitive programming
  • Math and science reasoning
  • Tool-calling agents with structured output
  • Open-weight self-hosted assistants

Think twice for

  • Image input (text-only)
  • Hardest terminal agent tasks
  • Very large single responses

Research papers

Same family

DeepSeek V3

Alternatives

other vendors · similar capability

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