Model Comparison

Gemini 1.0 Pro vs Phi 4Which is better in 2026?

Phi 4 significantly outperforms across most benchmarks. Phi 4 is 8.6x cheaper per token.

Verdict: Gemini 1.0 Pro vs Phi 4 — which is better?

Gemini 1.0 Pro (by Google) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 1.0 Pro outperforms in 0 benchmarks, while Phi 4 is better at 3 benchmarks (GPQA, MATH, MMLU). Phi 4 significantly outperforms across most benchmarks.

On price, Phi 4 is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.0 Pro also accepts a larger context window (32,760 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • you process long inputs — it offers a 32,760 token context window

Choose Phi 4 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • cost matters — it's about 8.6x cheaper per token
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Phi 4 is better at 3 benchmarks (GPQA, MATH, MMLU).

Phi 4 significantly outperforms across most benchmarks.

Wed Jun 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 7.1x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 10.7x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jun 17 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.0 Pro accepts 32,760 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Wed Jun 17 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Phi 4 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

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Phi 4 was released on 2024-12-12.

Phi 4 is 10 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

Phi 4

Dec 12, 2024

1.5 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Phi 4 has a cutoff of 2024-06-01.

Phi 4 has more recent training data (up to 2024-06-01), 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

Jun 2024

4 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. Phi 4 is available from DeepInfra.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (32,760 tokens)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (56.1% vs 27.9%)
Higher MATH score (80.4% vs 32.6%)
Higher MMLU score (84.8% vs 71.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Microsoft
Phi 4

FAQ

Common questions about Gemini 1.0 Pro vs Phi 4.

Which is better, Gemini 1.0 Pro or Phi 4?

Phi 4 significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to Phi 4 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 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Gemini 1.0 Pro cheaper than Phi 4?

Phi 4 is 7.1x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

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

Gemini 1.0 Pro supports 33K tokens and Phi 4 supports 16K 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?

Key differences include context window (33K vs 16K), input pricing ($0.50 vs $0.07/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Phi 4?

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

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