DeepSeek-V3.2-Exp (high): benchmark scores, price and ranking

DeepSeek-V3.2-Exp (high) from DeepSeek ranks #67 of 743 LLMs on the LLMs Tiger aggregate benchmark score (52.4), based on 1 benchmark results captured up to 2026-10-13.

Organisation: DeepSeek
Type: Open-weight / local model
Open weights: Yes
Cheapest API price: $0.270 in / $0.410 out per million tokens (via novita, observed 2026-10-13T20:47Z)
Aggregate rank: #67 of 743 (score 52.4)

Across the 1 benchmark where at least ten models are scored, DeepSeek-V3.2-Exp (high) is in the top 10% on 0 and in the top half on 1.

Its cheapest listed input price, $0.270 per million tokens, is lower than that of 62% of the 427 models with a listed price.

DeepSeek-V3.2-Exp (high) benchmark results

DeepSeek-V3.2-Exp (high) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Fiction.liveBench	83.3%	#5 of 47	Epoch AI Benchmarking Hub	2026-10-13

About DeepSeek-V3.2-Exp (high)

DeepSeek-V3.2-Exp (high) is an open-weight model that can run on your own hardware from DeepSeek. The cheapest API listing we track charges $0.270 per million input tokens and $0.410 per million output tokens, through novita. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where DeepSeek-V3.2-Exp (high) stands

On our aggregate score, DeepSeek-V3.2-Exp (high) is #67 of 743 ranked models, in the top quarter. Its score is 52.4; the scale is centred on 50, so it sits 2.4 points above the typical model. That beats 91% of the ranked field. Among the 33 ranked DeepSeek models it is #3. The next one up is DeepSeek V4 Flash 0731 (max) at 53.1. The next one down is deepseek-v4.1-flash-max at 52.2.

DeepSeek-V3.2-Exp (high), benchmark by benchmark

Fiction.liveBench puts DeepSeek-V3.2-Exp (high) at 83.3%, #5 of 47. That beats 89% of the models tested, but 11.1 points short of grok-4-0709 (94.4%). The results either side are Kimi K2.5 (86.1%) and QwQ-32B (83.3%). It covers long-context story comprehension (16k). The board median is 61.1%, so DeepSeek-V3.2-Exp (high) is 22.2 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so DeepSeek-V3.2-Exp (high) costs less than the typical listing. Models that score within 1.5 points or better and cost less: DeepSeek V4 Flash 0731 (max) ($0.016, 53.1), GLM-5.2 (high) ($0.060, 51.6), Qwen3-Coder-30B-A3B-Instruct ($0.070, 52.7). Similar scores cost more on Muse-Glimmer-30B ($0.300) and DeepSeek R1 (0528) ($0.400).

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. The leaderboard also lists 2 other reasoning-effort settings of this model, which redirect here. This page shows the highest. With 1 results the aggregate rank can move a lot when one new score arrives.

DeepSeek-V3.2-Exp (high) is also listed at 2 other reasoning-effort settings; this page shows the highest-effort row, which is the one the leaderboard keeps by default.

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