DeepSeek-V3.2 (Thinking; Fireworks): benchmark scores, price and ranking

DeepSeek-V3.2 (Thinking; Fireworks) from DeepSeek ranks #396 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.9), based on 1 benchmark results captured up to 2026-10-13.

Organisation: DeepSeek
Type: Open-weight / local model
Open weights: Yes
Cheapest API price: $0.259 in / $0.800 out per million tokens (via openrouter, observed 2026-10-13T20:47Z)
Aggregate rank: #396 of 743 (score 47.9)

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

Its cheapest listed input price, $0.259 per million tokens, is lower than that of 63% of the 427 models with a listed price.

DeepSeek-V3.2 (Thinking; Fireworks) benchmark results

DeepSeek-V3.2 (Thinking; Fireworks) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
ProofBench	8.0%	#39 of 46	Epoch AI Benchmarking Hub	2026-10-13

About DeepSeek-V3.2 (Thinking; Fireworks)

DeepSeek-V3.2 (Thinking; Fireworks) is an open-weight model that can run on your own hardware from DeepSeek. The cheapest API listing we track charges $0.259 per million input tokens and $0.800 per million output tokens, through openrouter. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where DeepSeek-V3.2 (Thinking; Fireworks) stands

On our aggregate score, DeepSeek-V3.2 (Thinking; Fireworks) is #396 of 743 ranked models, around the middle of the table. Its score is 47.9; the scale is centred on 50, so it sits 2.1 points below the typical model. That beats 47% of the ranked field. Among the 33 ranked DeepSeek models it is #21. The next one up is DeepSeek-R1-Distill-Qwen-32B at 47.9. The next one down is DeepSeek-V3.2 at 47.7.

DeepSeek-V3.2 (Thinking; Fireworks), benchmark by benchmark

ProofBench is a weak spot. DeepSeek-V3.2 (Thinking; Fireworks) scores 8.0%, #39 of 46, behind 83% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers writing mathematical proofs. The board median is 21.0%, so DeepSeek-V3.2 (Thinking; Fireworks) is 13.0 points below 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 (Thinking; Fireworks) costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Qwen3.5 27B ($0.260) and DeepSeek-V3.1-Terminus ($0.270).

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. With 1 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#393 codestral:22b-v0.1-q8_0 (48.0)
#394 qwen3-4b (47.9)
#395 DeepSeek-R1-Distill-Qwen-32B (47.9)
#397 qwen3-235b-a22b (47.9)
#398 Opus 4.5 (Thinking, None) (47.9)
#399 glm-4p7 (47.9)