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DeepSeek V4.1 Flash

Open weights DeepSeek 2026-10-17 1.05M context

The value champion: $0.26 per index task, with a LiveBench design score of 83.4 that matches Opus

Intelligence v5
33.0
Leaderboard rank
#15
Input / output
$0.30/$1.20
Blended 3:1
$0.53
Output speed
148 tok/s
Value
63 pts/$
Capability profile Normalised to the field maximum
Specifications
Vendor
DeepSeek
Released
2026-10-17
Weights
Open (MIT)
Context
1,048,576 tokens
Max output
Undisclosed
Parameters
552B total / 16B active
Input price
$0.30 / 1M
Output price
$1.20 / 1M
Cache hit
$0.006 / 1M
Output speed
148 tok/s
Intelligence
33.0(v5)

Benchmark scores

How it is measured →

Ranked 15 · bars are scaled to the field maximum for that benchmark.

BenchmarksScoreVs. best in fieldGap
AA Intelligence Index v5 Intelligence index 33.055% −27.0 pts
AA Intelligence Index v4.3.2 Intelligence index (legacy) 45.178% −12.5 pts
GPQA Diamond Graduate-level science reasoning 89.893% −6.6 pts
Terminal-Bench 4.0 Terminal-agent tasks 19.729% −47.5 pts
LiveBench Design Document generation (DOCX/PPT/PDF) 83.496% −3.5 pts
Vals Index Vals composite index 50.970% −22.2 pts

Assessment

A 552B backbone with 8B (prefill) / 16B (decode) active, 1M of context and an MIT licence with no commercial restrictions. AA Intelligence Index v5 33.0 — second among open models behind Kimi K3.1 Pro at 46.0; the earlier claim of being tied with GLM-5.3 for first no longer holds now that Kimi's weights are out. Its LiveBench design score of 83.4 is 3.5 points behind Opus 5.5 at 86.9, at 1/17 of the price. Cache hits cost $0.003 off-peak, the deepest cache discount in the industry. Mind the 2x peak/off-peak spread.

At the same price

The four models closest on blended price, side by side.

Modelv5Blendedtok/sScore gap
MiMo-V2.6 Pro Open weightsXiaomi 30.0 $0.61 81 -3.0
MiniMax M3.1 FlashMiniMax 29.0 $0.26 118 -4.0
Claude Haiku 5.5Anthropic 36.0 $0.20 235 +3.0
Mistral Large 4 Open weightsMistral 26.0 $1.05 — -7.0

Compare side by side

Line it up against other models on price, speed and every benchmark.

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