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Gemini 2.5 Pro vs MiniMax M3

Gemini 2.5 Pro

Google

84#70
vs
MiniMax M3

MiniMax

74#131
Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaMiniMax M3
Capabilities
100
+17
83
Benchmarks
80
+7
73
Pricing
90
-9
99
Context window size
96
--
96
Recency
57
-43
100
Output Capacity
80
-15
95
Overall Result
2 wins
of 6
3 wins
MiniMax M3 wins 3 of 6 signals

Score History

Score History (25 data points)
Gemini 2.5 ProMiniMax M3
Gemini 2.5 Pro

83.5

current score

Leader

Gemini 2.5 Pro

right now

MiniMax M3

74.3

current score

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

Gemini 2.5 Pro

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

MiniMax M3

MiniMax

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

MiniMax M3 saves you $535.00/month

That's $6420.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

86% cheaper
Choose MiniMax M3 for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
MiniMax M3 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
Winner
Gemini 2.5 Pro

Google

84

Composite Score

MiniMax M3

MiniMax

74

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProMiniMax M3Winner
Overall Score
84
74
Gemini 2.5 Pro
Rank#70#131
Gemini 2.5 Pro
Quality Rank#70#131
Gemini 2.5 Pro
Adoption Rank#70#131
Gemini 2.5 Pro
Parameters------
Context Window1049K1049K--
Pricing$1.25/$10.00/M$0.30/$1.20/M--
Signal Scores
Capabilities
100
83
Gemini 2.5 Pro
Benchmarks
80
73
Gemini 2.5 Pro
Pricing
90
99
MiniMax M3
Context window size
96
96
Gemini 2.5 Pro
Recency
57
100
MiniMax M3
Output Capacity
80
95
MiniMax M3
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 0MiniMax M3: 1
Gemini 2.5
MiniMax M3
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
86%-
GPQA Diamond
84%-
MATH-500
95.2%-
SWE-bench Verified
63.8%-
AIME 2024
92%-
IFEval
87.2%-
BBH
88%-
Arena Elo
14441445
LiveBench
75.6%-
HLE
35.2%-
BigCodeBench
29.7%-
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.

Gemini 2.5 ProStrong Performer

Scores 84/100 (rank #70), placing it in the top 76% of all 290 models tracked.

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

Scores 74/100 (rank #131), placing it in the top 55% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 2.5 Pro has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 2.5 Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose MiniMax M3 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
Cost-Performance Analysis
Gemini 2.5 Pro
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75
MiniMax M3Best Value
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

MiniMax M3 offers 87% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M3 vs $168.75/month with Gemini 2.5 Pro - a $146.25 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
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

Gemini 2.5 Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M3 also offers lower per-token costs for high-volume support

Gemini 2.5 Pro

Long document analysis

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

Gemini 2.5 Pro

Batch data extraction

Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily

MiniMax M3

Creative writing & content

Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro

Gemini 2.5 Pro has a moderate advantage with a 9.200000000000003-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.

Gemini 2.5 Pro
Recommended

by Google

  • 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 MiniMax

  • Choose for Cost - 87% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 ProMiniMax M3
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 2.5 Pro

Google

$14.25
estimated monthly cost

MiniMax M3

MiniMax

Best Value
$1.98
estimated monthly cost

MiniMax M3 saves you $12.27/month

That's 86% cheaper than Gemini 2.5 Pro 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
ParameterGemini 2.5 ProMiniMax M3
Context Window1.0M1.0M
Max Output Tokens65,536512,000
Open SourceNoYes
CreatedJun 17, 2025May 31, 2026
Last updated: 30m ago

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