The AI arena is free today

Open Superagent

Gemini 1.0 Pro vs Phi 4 Reasoning

Phi 4 Reasoning leads the LLM Stats Score 12.3 to -5.3.

Google · Microsoft · Updated for 2026

Which is better?

Phi 4 Reasoning leads the overall LLM Stats Score 12.3 to -5.3, ranking #242 overall.

In the 1 individual benchmarks reported for both models, Phi 4 Reasoning wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Phi 4 Reasoning

  • overall performance matters — it scores 12.3 and ranks #242 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-5.3
#345
12.3
#242
-7.9
#343
12.8
#230
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
32,760

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.0 Pro
Phi 4 Reasoning
-1.4#296
13.9#215
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 11 for Phi 4 Reasoning

1 shared

Gemini 1.0 Pro outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 1 benchmark (GPQA).

Phi 4 Reasoning significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Phi 4 Reasoning uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Phi 4 Reasoning was released on 2025-04-30.

Phi 4 Reasoning is 15 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Phi 4 Reasoning

Apr 30, 2025

1.4 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Phi 4 Reasoning has a cutoff of 2025-03-01.

Phi 4 Reasoning has more recent training data (up to 2025-03-01), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

Phi 4 Reasoning

Mar 2025

1.1 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Phi 4 Reasoning.

Which is better, Gemini 1.0 Pro or Phi 4 Reasoning?

Phi 4 Reasoning leads the LLM Stats Score 12.3 to -5.3. Gemini 1.0 Pro is made by Google and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.0 Pro compare to Phi 4 Reasoning in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for Gemini 1.0 Pro and Phi 4 Reasoning?

Gemini 1.0 Pro supports 33K tokens and Phi 4 Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and Phi 4 Reasoning?

Key differences include LLM Stats Score (-5.3 vs 12.3), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Phi 4 Reasoning?

Gemini 1.0 Pro is developed by Google and Phi 4 Reasoning is developed by Microsoft.