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DeepSeek V3.2 vs Gemma 4 31B

DeepSeek V3.2

DeepSeek

81#54
vs
Gemma 4 31B

Google

80#56
Signal-by-Signal Comparison
SignalDeepSeek V3.2DeltaGemma 4 31B
Capabilities
67
-17
83
Benchmarks
83
-3
86
Pricing
100
+0
100
Context window size
75
-3
77
Recency
91
-9
100
Output Capacity
80
-10
90
Overall Result
1 wins
of 6
5 wins
Gemma 4 31B wins 5 of 6 signals

Score History

Score History (22 data points)
DeepSeek V3.2Gemma 4 31B
DeepSeek V3.2

80.9

current score

Leader

DeepSeek V3.2

right now

Gemma 4 31B

80

current score

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

DeepSeek V3.2

DeepSeek

Best Value
Per request$0.000469
Daily$1.56
Monthly$46.90
Annual$562.80

Gemma 4 31B

Google

Per request$0.000495
Daily$1.65
Monthly$49.50
Annual$594.00

DeepSeek V3.2 saves you $2.60/month

That's $31.20/year compared to Gemma 4 31B at your current usage level of 100K calls/month.

5% cheaper
Choose DeepSeek V3.2 for cost optimization

DeepSeek V3.2 pricing:
Input:$0.27/M tokens
Output:$0.40/M tokens
Gemma 4 31B pricing:
Input:$0.22/M tokens
Output:$0.55/M tokens
Winner
DeepSeek V3.2

DeepSeek

81

Composite Score

Gemma 4 31B

Google

80

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.2Gemma 4 31BWinner
Overall Score
81
80
DeepSeek V3.2
Rank#54#56
DeepSeek V3.2
Quality Rank#54#56
DeepSeek V3.2
Adoption Rank#54#56
DeepSeek V3.2
Parameters--31B--
Context Window164K262K
Gemma 4 31B
Pricing$0.27/$0.40/M$0.22/$0.55/M--
Signal Scores
Capabilities
67
83
Gemma 4 31B
Benchmarks
83
86
Gemma 4 31B
Pricing
100
100
DeepSeek V3.2
Context window size
75
77
Gemma 4 31B
Recency
91
100
Gemma 4 31B
Output Capacity
80
90
Gemma 4 31B
Benchmark Head-to-Head(9 benchmarks)
DeepSeek V3.2: 1Gemma 4: 2
DeepSeek V3.2
Gemma 4
Normalized 0-100%
MMLU
88.5%-
MMLU-Pro
85%85.2%
GPQA Diamond
85.7%84.3%
SWE-bench Verified
70%-
AIME 2024
-89.2%
BBH
-74.4%
Arena Elo
14251451
LiveBench
-80%
HLE
-19.5%
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 V3.2Strong Performer

Scores 81/100 (rank #54), placing it in the top 82% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemma 4 31BStrong Performer

Scores 80/100 (rank #56), placing it in the top 81% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 V3.2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Gemma 4 31B when you need:

  • Processing long documents or large codebases (262K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V3.2Best Value
Input cost$0.27/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.03
Gemma 4 31B
Input cost$0.22/M tokens
Output cost$0.55/M tokens
Cost per quality point$0.010
Est. monthly (1M tokens/day)$11.55

DeepSeek V3.2 offers 13% better value per quality point. At 1M tokens/day, you'd spend $10.03/month with DeepSeek V3.2 vs $11.55/month with Gemma 4 31B - a $1.52 monthly difference.

Latency & Speed
DeepSeek V3.2Faster
Speed score0/100
Gemma 4 31B
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 V3.2

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V3.2 also offers lower per-token costs for high-volume support

DeepSeek V3.2

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Gemma 4 31B

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

DeepSeek V3.2

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3.2

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemma 4 31B
Which Should You Choose?
Our recommendation:
DeepSeek V3.2

DeepSeek V3.2 and Gemma 4 31B are extremely close in overall performance (only 0.9000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

DeepSeek V3.2
Recommended

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 13% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityDeepSeek V3.2Gemma 4 31B
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3.2

DeepSeek

Best Value
$0.9642
estimated monthly cost

Gemma 4 31B

Google

$1.06
estimated monthly cost

DeepSeek V3.2 saves you $0.0918/month

That's 9% cheaper than Gemma 4 31B 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 V3.2Gemma 4 31B
Context Window164K262K
Max Output Tokens65,536262,144
Open SourceYesYes
CreatedDec 1, 2025Apr 2, 2026
Last updated: 32m ago

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DeepSeek V3.2 vs Gemma 4 31B (2026) | LM Market Cap