Model Comparison

Gemini 2.0 Flash-Lite vs GPT-4 TurboWhich is better in 2026?

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is 117.6x cheaper per token.

Verdict: Gemini 2.0 Flash-Lite vs GPT-4 Turbo — which is better?

Gemini 2.0 Flash-Lite (by Google) and GPT-4 Turbo (by OpenAI) 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 2.0 Flash-Lite outperforms in 2 benchmarks (GPQA, MATH), while GPT-4 Turbo is better at 0 benchmarks. Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

On price, Gemini 2.0 Flash-Lite is roughly 117.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.0 Flash-Lite if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 117.6x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2025

Choose GPT-4 Turbo if…

  • you want predictable pricing at $10.00/M input and $30.00/M output
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash-Lite outperforms in 2 benchmarks (GPQA, MATH), while GPT-4 Turbo is better at 0 benchmarks.

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 142.9x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 100.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Gemini 2.0 Flash-Lite.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash-Lite accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 2.0 Flash-Lite can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas GPT-4 Turbo does not.

Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

GPT-4 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash-Lite

Proprietary

Closed source

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while GPT-4 Turbo was released on 2024-04-09.

Gemini 2.0 Flash-Lite is 10 months newer than GPT-4 Turbo.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.4 years ago

10mo newer
GPT-4 Turbo

Apr 9, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, while GPT-4 Turbo has a cutoff of 2023-12-31.

Gemini 2.0 Flash-Lite has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).

Gemini 2.0 Flash-Lite

Jun 2024

6 mo newer
GPT-4 Turbo

Dec 2023

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. GPT-4 Turbo is available from Azure, OpenAI.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (51.5% vs 48.0%)
Higher MATH score (86.8% vs 72.6%)
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
OpenAI
GPT-4 Turbo

FAQ

Common questions about Gemini 2.0 Flash-Lite vs GPT-4 Turbo.

Which is better, Gemini 2.0 Flash-Lite or GPT-4 Turbo?

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is made by Google and GPT-4 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash-Lite compare to GPT-4 Turbo in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

Is Gemini 2.0 Flash-Lite cheaper than GPT-4 Turbo?

Gemini 2.0 Flash-Lite is 142.9x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure.

What are the context window sizes for Gemini 2.0 Flash-Lite and GPT-4 Turbo?

Gemini 2.0 Flash-Lite supports 1.0M tokens and GPT-4 Turbo supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash-Lite and GPT-4 Turbo?

Key differences include context window (1.0M vs 128K), input pricing ($0.07 vs $10.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and GPT-4 Turbo?

Gemini 2.0 Flash-Lite is developed by Google and GPT-4 Turbo is developed by OpenAI.

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