AI Model Comparison

MiniMax-M3 vs Gemini 3.5 Flash (medium)

Compare MiniMax-M3 vs Gemini 3.5 Flash (medium) with benchmark results, speed, pricing, and practical workflow guidance.

Best For MiniMax-M3

  • Zero-cost implementation
  • High instruction following
  • Complex logic tasks

Best For Gemini 3.5 Flash (medium)

  • Predictable latency needs
  • Google ecosystem integration
  • High-speed production environments

MiniMax-M3 and Gemini 3.5 Flash (medium) offer comparable intelligence and coding capabilities. While MiniMax-M3 provides a free-to-use model, Gemini 3.5 Flash delivers transparent performance metrics and established integration within the Google ecosystem.

Quick Take

MiniMax-M3 and Google’s Gemini 3.5 Flash (medium) represent two distinct approaches to model deployment. Released on June 1, 2026, MiniMax-M3 enters the market with a zero-cost pricing structure. Gemini 3.5 Flash (medium), released slightly earlier on May 19, 2026, operates on a paid tier but provides detailed performance data regarding token speed and latency.

Benchmark Read

Both models demonstrate high levels of capability across various metrics. MiniMax-M3 holds an Intelligence index of 54.7 and a Coding index of 43.4. Gemini 3.5 Flash (medium) leads slightly with an Intelligence index of 54.8 and a Coding index of 43.9.

In specific benchmarks, MiniMax-M3 outperforms Gemini 3.5 Flash in:

  • GPQA: 0.929 vs 0.921
  • IFBench: 0.8286 vs 0.7456
  • LCR: 0.74 vs 0.71
  • TerminalBench Hard: 0.4242 vs 0.3939

Conversely, Gemini 3.5 Flash (medium) shows stronger results in:

  • HLE: 0.399 vs 0.371
  • SciCode: 0.53 vs 0.454
  • TAU2: 0.9561 vs 0.8889

Math index data is currently unknown for both models.

Cost and Speed

Cost is the primary differentiator. MiniMax-M3 is priced at $0.00 per 1M tokens for both input and output. In contrast, Gemini 3.5 Flash (medium) costs $1.50 per 1M input tokens and $9.00 per 1M output tokens, resulting in a blended cost of $3.38 per 1M tokens.

Regarding performance, Gemini 3.5 Flash (medium) provides clear metrics: an output speed of 206.494 tokens per second and a time to first token of 11.76 seconds. Corresponding performance data for MiniMax-M3 remains unknown.

Best Fit

MiniMax-M3 is best suited for users or developers looking to minimize infrastructure costs while maintaining high-level performance in logic and instruction following. Gemini 3.5 Flash (medium) is better suited for enterprise applications where performance guarantees, speed metrics, and integration with Google’s development tools are required.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric MiniMax MiniMax-M3 Google Gemini 3.5 Flash (medium)
Index Scores
Intelligence Index 54.7 54.8
Coding Index 43.4 43.9
Math Index--
Benchmark Scores
GPQA 92.9 92.1
SciCode 45.4 53.0
IFBench 82.9 74.6
HLE 37.1 39.9
LCR 74.0 71.0
TAU2 88.9 95.6
TerminalBench Hard 42.4 39.4

Verdict

Choose MiniMax-M3 if your priority is cost-efficiency, as it is currently free to use. Select Gemini 3.5 Flash (medium) if you require verified performance speeds, predictable latency, and a model backed by Google’s broader agentic development ecosystem, despite the associated input and output costs.

Comments (0)

No comments yet

Be the first to share your thoughts!