Command A vs Gemini 3 Pro Preview (high)

Comparing 2 AI models · 6 benchmarks · Cohere, Google

Most Affordable
Google logo
Gemini 3 Pro Preview (high)
$2.00/1M
Highest Intelligence
Google logo
Gemini 3 Pro Preview (high)
90.8% GPQA
Best for Coding
Google logo
Gemini 3 Pro Preview (high)
62.3 Coding Index
Price Difference
1.3x
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

6 tests
Cohere logo

Command A

1
  • MATH 500
Google logo

Gemini 3 Pro Preview (high)

5
  • GPQA
  • MMLU Pro
  • HLE
  • LiveCodeBench
  • AIME 2025
Metric
Cohere logo Command A
Cohere
Google logo Gemini 3 Pro Preview (high)
Google
Pricing
Per 1M tokens
Input Cost $2.50/1M $2.00/1M
Output Cost $10.00/1M $12.00/1M
Blended Cost 3:1 input/output ratio
$4.38/1M $4.50/1M
Specifications
Organization Model creator
Cohere Google
Release Date Launch date
Mar 13, 2025 Nov 18, 2025
Performance & Speed
Throughput Output speed
65.8 tok/s 138.9 tok/s
Time to First Token (TTFT) Initial response delay
322ms 26684ms
Latency Time to first answer token
322ms 26684ms
Composite Indices
Intelligence Index Overall reasoning capability
26.9 72.8
Coding Index Programming ability
19.2 62.3
Math Index Mathematical reasoning
13.0 95.7
Standard Benchmarks
GPQA Graduate-level reasoning
52.7% 90.8%
MMLU Pro Advanced knowledge
71.2% 89.8%
HLE Hard language evaluation
4.6% 37.2%
LiveCodeBench Real-world coding tasks
28.7% 91.7%
MATH 500 Mathematical problems
81.9%
AIME 2025 Advanced math competition
13.0% 95.7%
AIME (Original) Math olympiad problems
9.7%
SciCode Scientific code generation
28.1% 56.1%
LCR Code review capability
18.0% 70.7%
IFBench Instruction-following
36.5% 70.4%
TAU-bench v2 Tool use & agentic tasks
15.2% 87.1%
TerminalBench Hard CLI command generation
0.7% 39.0%

Key Takeaways

Gemini 3 Pro Preview (high) offers the best value at $2.00/1M, making it ideal for high-volume applications and cost-conscious projects.

Gemini 3 Pro Preview (high) leads in reasoning capabilities with a 90.8% GPQA score, excelling at complex analytical tasks and problem-solving.

Gemini 3 Pro Preview (high) achieves a 62.3 coding index, making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Cohere logo

Command A

  • General-purpose AI
  • Versatile applications
Google logo

Gemini 3 Pro Preview (high)

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development

Cost Calculator

Cohere logo Command A
$0.00
per month
Google logo Gemini 3 Pro Preview (high)
$0.00
per month

Costs are estimates based on API pricing. Actual costs may vary based on caching, batch processing, and volume discounts.

AI Model Comparison Guide

Compare large language models (LLMs) side-by-side with detailed benchmark scores, pricing, and performance metrics. Our interactive comparison tool helps you evaluate AI models from OpenAI, Anthropic, Google, Meta, DeepSeek, and other leading providers. Use our AI model leaderboard to discover more models to compare.

Understanding Composite Indices

  • Intelligence Index: Aggregated score combining MMLU-Pro, GPQA, and HLE benchmarks - measures overall reasoning and knowledge capabilities
  • Coding Index: Composite metric from LiveCodeBench, SciCode, and LiveCodeBench Review - evaluates programming proficiency across multiple languages
  • Math Index: Combined score from AIME, AIME 2025, and MATH-500 benchmarks - assesses mathematical reasoning from high school to competition level

Key Comparison Metrics

  • Benchmark Scores: Standardized tests measuring intelligence, coding, math, and specialized capabilities - higher percentages indicate better performance
  • Pricing Analysis: Compare input and output token costs across models - critical for budgeting API usage and scaling applications
  • Performance Metrics: Throughput (tokens/second) and latency measurements for real-time application planning
  • Context Windows: Maximum token capacity for processing documents and maintaining conversation history

How to Compare AI Models Effectively

Performance vs Cost

Balance benchmark scores against token pricing - flagship models offer 10-15% better performance but cost 5-10x more than smaller alternatives

Task-Specific Selection

Prioritize relevant indices: coding index for development tasks, math index for STEM applications, intelligence index for general reasoning

Real-World Testing

Use our free AI chat interface to test models with your specific prompts before committing to API integration

All benchmark scores, pricing data, and performance metrics are sourced from Artificial Analysis and updated daily. Compare models by intelligence, coding ability, math performance, speed, cost, or release date using our comprehensive AI model leaderboard.