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Gemma 4 31B vs MiniMax M3

Gemma 4 31B

Google

80#45
vs
MiniMax M3

MiniMax

74#72
Signal-by-Signal Comparison
SignalGemma 4 31BDeltaMiniMax M3
Capabilities
83
--
83
Benchmarks
86
+13
73
Pricing
100
+1
99
Context window size
77
-9
86
Recency
100
--
100
Output Capacity
90
-5
95
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (14 data points)
Gemma 4 31BMiniMax M3
Gemma 4 31B

80

current score

Leader

Gemma 4 31B

right now

MiniMax M3

74.1

current score

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

Gemma 4 31B

Google

Best Value
Per request$0.000295
Daily$0.98
Monthly$29.50
Annual$354.00

MiniMax M3

MiniMax

Per request$0.000900
Daily$3.00
Monthly$90.00
Annual$1080.00

Gemma 4 31B saves you $60.50/month

That's $726.00/year compared to MiniMax M3 at your current usage level of 100K calls/month.

67% cheaper
Choose Gemma 4 31B for cost optimization

Gemma 4 31B pricing:
Input:$0.12/M tokens
Output:$0.35/M tokens
MiniMax M3 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
Winner
Gemma 4 31B

Google

80

Composite Score

MiniMax M3

MiniMax

74

Composite Score

Signal-by-Signal Comparison
MetricGemma 4 31BMiniMax M3Winner
Overall Score
80
74
Gemma 4 31B
Rank#45#72
Gemma 4 31B
Quality Rank#45#72
Gemma 4 31B
Adoption Rank#45#72
Gemma 4 31B
Parameters31B----
Context Window262K1049K
MiniMax M3
Pricing$0.12/$0.35/M$0.30/$1.20/M--
Signal Scores
Capabilities
83
83
Gemma 4 31B
Benchmarks
86
73
Gemma 4 31B
Pricing
100
99
Gemma 4 31B
Context window size
77
86
MiniMax M3
Recency
100
100
Gemma 4 31B
Output Capacity
90
95
MiniMax M3
Benchmark Head-to-Head(7 benchmarks)
Gemma 4: 1MiniMax M3: 0
Gemma 4
MiniMax M3
Normalized 0-100%
MMLU-Pro
85.2%-
GPQA Diamond
84.3%-
AIME 2024
89.2%-
BBH
74.4%-
Arena Elo
14511447
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.

Gemma 4 31BStrong Performer

Scores 80/100 (rank #45), placing it in the top 85% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M3Strong Performer

Scores 74/100 (rank #72), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemma 4 31B has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemma 4 31B when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose MiniMax M3 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Gemma 4 31BBest Value
Input cost$0.12/M tokens
Output cost$0.35/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$7.05
MiniMax M3
Input cost$0.30/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.020
Est. monthly (1M tokens/day)$22.50

Gemma 4 31B offers 69% better value per quality point. At 1M tokens/day, you'd spend $7.05/month with Gemma 4 31B vs $22.50/month with MiniMax M3 - a $15.45 monthly difference.

Latency & Speed
Gemma 4 31BFaster
Speed score0/100
MiniMax M3
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

Gemma 4 31B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemma 4 31B also offers lower per-token costs for high-volume support

Gemma 4 31B

Long document analysis

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

MiniMax M3

Batch data extraction

Lower output pricing ($0.35/M) reduces costs when processing thousands of records daily

Gemma 4 31B

Creative writing & content

Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content

Gemma 4 31B

Image understanding & OCR

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

Gemma 4 31B
Which Should You Choose?
Our recommendation:
Gemma 4 31B

Gemma 4 31B has a moderate advantage with a 5.900000000000006-point lead in composite score. It wins on more signal dimensions, but MiniMax M3 has specific strengths that could make it the better choice for certain workflows.

Gemma 4 31B
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 69% 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 MiniMax

Consider for specialized use cases.

Capability Comparison
CapabilityGemma 4 31BMiniMax M3
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemma 4 31B

Google

Best Value
$0.6360
estimated monthly cost

MiniMax M3

MiniMax

$1.98
estimated monthly cost

Gemma 4 31B saves you $1.34/month

That's 68% cheaper than MiniMax M3 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
ParameterGemma 4 31BMiniMax M3
Context Window262K1.0M
Max Output Tokens262,144512,000
Open SourceYesYes
CreatedApr 2, 2026May 31, 2026
Last updated: 56m ago

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