The Known Good Updated 25 Jul 2026
DeepSeek: DeepSeek V3 0324 vs Google: Gemma 3 27B ·DeepSeek vs Google

DeepSeek: DeepSeek V3 0324 vs Google: Gemma 3 27B — head-to-head comparison

DeepSeek: DeepSeek V3 0324 profile Google: Gemma 3 27B profile All comparisons
DeepSeek: DeepSeek V3 0324 — DeepSeek
Quality
#35 of 61
60based on 3 of 6 evaluations
Known Good Index
Speed
#256 of 316
26.1
Output tokens per second
Price
#133 of 340
$0.48
Blended per 1M tokens
In $0.27 · Out $1.12
Cache hit price
#118 of 206
$0.14
per 1M tokens (−50%)
Context
#224 of 345
164k
tokens (~300 pages)
Google: Gemma 3 27B — Google
Quality
#47 of 61
37based on 3 of 6 evaluations
Known Good Index
Speed
#262 of 316
24.4
Output tokens per second
Price
#64 of 340
$0.17
Blended per 1M tokens
In $0.08 · Out $0.45
Cache hit price
#62 of 206
$0.040
per 1M tokens (−50%)
Context
#171 of 345
262k
tokens (~400 pages)
Summary

On the Known Good Index, DeepSeek: DeepSeek V3 0324 scores 60 and Google: Gemma 3 27B scores 37 — a 23-point lead for DeepSeek: DeepSeek V3 0324. They share 10 published evaluations, with DeepSeek: DeepSeek V3 0324 ahead on 10 and Google: Gemma 3 27B ahead on 0.

Blended pricing is $0.48 per 1M tokens for DeepSeek: DeepSeek V3 0324 and $0.17 for Google: Gemma 3 27B — Google: Gemma 3 27B is about 2.8× cheaper.

Throughput is 26 tokens per second for DeepSeek: DeepSeek V3 0324 and 24 for Google: Gemma 3 27B, with time to first token at 1.1s and 0.9s. DeepSeek: DeepSeek V3 0324 accepts 164k tokens of context against 262k.

DeepSeek: DeepSeek V3 0324 is open weights; Google: Gemma 3 27B is open weights under Open weights (restricted use). 7 tracked hosts serve one or both, and 2 serve both.

Generated from tracked data on 25 Jul 2026 · how these comparisons are computed →

At a glance
MetricDeepSeek: DeepSeek V3 0324Google: Gemma 3 27B
Known Good Index 60 based on 3 of 6 evaluations 37 based on 3 of 6 evaluations
Blended $/1M $0.48 $0.17
Output tok/s 26 24
Context window 164k 262k
Providers 4 5
Jump to section

Quality

Known Good Index and the capability indices, side by side

IndicesComponents
Index scores

Each index is min-max normalised across tracked models and scaled 0–100 from published evaluations. We do not run these evaluations.

MetricDeepSeek: DeepSeek V3 0324Google: Gemma 3 27B
Known Good Index 60 37
Mathematics Index 57 47
Science Index 67 44
Reasoning Index 65 40
Openness Index 100 60
The Known Good

Quality Breakdown

Every evaluation both models report a published score for

Evaluations both models report

Bar = DeepSeek: DeepSeek V3 0324 · marker = Google: Gemma 3 27B · scores ingested from Epoch AI (CC-BY 4.0), LiveBench (Apache-2.0)

GPQA Diamond68 / 49
MATH / AIME38 / 20
LiveBench67 / 50
LiveBench Coding71 / 40
LiveBench Data Analysis60 / 51
LiveBench Instruction Following81 / 75
LiveBench Language49 / 35
LiveBench Mathematics74 / 55
LiveBench Reasoning66 / 44
MATH Level 576 / 74

Right-hand figures read DeepSeek: DeepSeek V3 0324 / Google: Gemma 3 27B. DeepSeek: DeepSeek V3 0324 leads on 10 of 10, Google: Gemma 3 27B on 0.

The Known Good

Arena Elo

Human preference rating from blind pairwise votes

Arena ratings

Elo from blind pairwise votes, ingested from Arena. Higher is better.

MetricDeepSeek: DeepSeek V3 0324Google: Gemma 3 27B
Text Arena 1,375
Text Arena (style controlled) 1,396
The Known Good

Price & Cost

Published API pricing by token type

Per token typeCache discount
Published pricing

USD per 1M tokens. Blended is a 3:1 input:output mix. Live from OpenRouter, cross-checked against models.dev. Lower is better.

MetricDeepSeek: DeepSeek V3 0324Google: Gemma 3 27B
Input $/1M $0.27 $0.08
Output $/1M $1.12 $0.45
Blended $/1M $0.48 $0.17
Cache read $/1M $0.135 $0.040
The Known Good
We publish blended price rather than cost-per-task. Cost-per-task requires token counts from an evaluation suite we do not run. Blended price is computed from published rates and is fully reproducible — see the pricing methodology.

Context Window

Maximum input accepted and maximum output emitted

Context and output limits

Provider-declared limits, from metadata via models.dev and OpenRouter. Higher is better.

MetricDeepSeek: DeepSeek V3 0324Google: Gemma 3 27B
Context window 164k 262k
Max output tokens 66k 131k
The Known Good

Speed & Latency

Median throughput and time to first token across hosting providers

Output speedTime to first token
Throughput and latency

Medians across all tracked providers, derived from OpenRouter endpoint telemetry.

MetricDeepSeek: DeepSeek V3 0324Google: Gemma 3 27B
Output tokens/s 26 24
Time to first token 1.1s 0.9s
The Known Good

Providers

Which hosts serve each model, and at what price and speed

7 hosts · 2 serve both
Full provider benchmarks →
Provider DeepSeek: DeepSeek V3 0324 blendedDeepSeek: DeepSeek V3 0324 tok/s Google: Gemma 3 27B blendedGoogle: Gemma 3 27B tok/s
Crusoe $0.75 37
Novita $0.48 30 $0.14 32
DeepInfra $0.41 25 $0.10 22
SiliconFlow $0.44 21
Parasail $0.17 54
Phala $0.23 15
Nebius $0.15 12

Per-host pricing and telemetry from OpenRouter. A dash means that host does not serve that model.

The Known Good
Sources for this page
Pricing & providers — OpenRouter Metadata — models.dev Benchmarks — Epoch AI (CC-BY 4.0)Benchmarks — LiveBench (Apache-2.0)Elo — Arena Full attribution →