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DeepSeek V4 Flash 0423 vs Gemma 3n 4B

vs
Gemma 3n 4B

Google

40#333
Signal-by-Signal Comparison
SignalDeepSeek V4 Flash 0423DeltaGemma 3n 4B
Capabilities
67
+33
33
Pricing
100
0
100
Context window size
96
+24
72
Recency
100
+48
52
Output Capacity
93
+73
20
Overall Result
4 wins
of 5
1 wins
DeepSeek V4 Flash 0423 wins 4 of 5 signals

Score History

Score History (25 data points)
DeepSeek V4 Flash 0423Gemma 3n 4B
DeepSeek V4 Flash 0423

40

current score

Leader

Tied

right now

Gemma 3n 4B

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

DeepSeek V4 Flash 0423

DeepSeek

Per request$0.000280
Daily$0.93
Monthly$28.00
Annual$336.00

Gemma 3n 4B

Google

Best Value
Per request$0.000120
Daily$0.40
Monthly$12.00
Annual$144.00

Gemma 3n 4B saves you $16.00/month

That's $192.00/year compared to DeepSeek V4 Flash 0423 at your current usage level of 100K calls/month.

57% cheaper
Choose Gemma 3n 4B for cost optimization

DeepSeek V4 Flash 0423 pricing:
Input:$0.14/M tokens
Output:$0.28/M tokens
Gemma 3n 4B pricing:
Input:$0.06/M tokens
Output:$0.12/M tokens
Tie
DeepSeek V4 Flash 0423

DeepSeek

40

Composite Score

Tie
Gemma 3n 4B

Google

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V4 Flash 0423Gemma 3n 4BWinner
Overall Score
40
40
--
Rank#275#333
DeepSeek V4 Flash 0423
Quality Rank#275#333
DeepSeek V4 Flash 0423
Adoption Rank#275#333
DeepSeek V4 Flash 0423
Parameters--4B--
Context Window1049K33K
DeepSeek V4 Flash 0423
Pricing$0.14/$0.28/M$0.06/$0.12/M--
Signal Scores
Capabilities
67
33
DeepSeek V4 Flash 0423
Pricing
100
100
Gemma 3n 4B
Context window size
96
72
DeepSeek V4 Flash 0423
Recency
100
52
DeepSeek V4 Flash 0423
Output Capacity
93
20
DeepSeek V4 Flash 0423
Benchmark Head-to-Head(2 benchmarks)
DeepSeek V4: 0Gemma 3n: 0
DeepSeek V4
Gemma 3n
Normalized 0-100%
MMLU-Pro
86.2%-
Arena Elo
1433-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

DeepSeek V4 Flash 0423Entry Level

Scores 40/100 (rank #275), placing it in the top 6% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemma 3n 4BEntry Level

Scores 40/100 (rank #333), placing it in the top -14% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose DeepSeek V4 Flash 0423 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Gemma 3n 4B when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V4 Flash 0423
Input cost$0.14/M tokens
Output cost$0.28/M tokens
Cost per quality point$0.011
Est. monthly (1M tokens/day)$6.30
Gemma 3n 4BBest Value
Input cost$0.06/M tokens
Output cost$0.12/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$2.70

Gemma 3n 4B offers 57% better value per quality point. At 1M tokens/day, you'd spend $2.70/month with Gemma 3n 4B vs $6.30/month with DeepSeek V4 Flash 0423 - a $3.60 monthly difference.

Latency & Speed
DeepSeek V4 Flash 0423Faster
Speed score0/100
Gemma 3n 4B
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

DeepSeek V4 Flash 0423

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemma 3n 4B also offers lower per-token costs for high-volume support

DeepSeek V4 Flash 0423

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

DeepSeek V4 Flash 0423

Batch data extraction

Lower output pricing ($0.12/M) reduces costs when processing thousands of records daily

Gemma 3n 4B

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V4 Flash 0423
Which Should You Choose?
Our recommendation:
DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423 and Gemma 3n 4B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Google

  • Choose for Cost - 57% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V4 Flash 0423Gemma 3n 4B
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V4 Flash 0423

DeepSeek

$0.5880
estimated monthly cost

Gemma 3n 4B

Google

Best Value
$0.2520
estimated monthly cost

Gemma 3n 4B saves you $0.3360/month

That's 57% cheaper than DeepSeek V4 Flash 0423 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterDeepSeek V4 Flash 0423Gemma 3n 4B
Context Window1.0M33K
Max Output Tokens393,216--
Open SourceYesYes
CreatedApr 24, 2026May 20, 2025
Last updated: 36m ago

相关对比

DeepSeek V4 Flash 0423 vs Gemma 3n 4B (2026) | LM Market Cap