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Gemini 2.0 Flash vs GPT-4

Gemini 2.0 Flash leads the LLM Stats Score 16.5 to 3.7. Gemini 2.0 Flash is 214.3x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.5 to 3.7, ranking #203 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 2.0 Flash is roughly 214.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

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

Choose Gemini 2.0 Flash

  • overall performance matters — it scores 16.5 and ranks #203 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 214.3x 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 Dec 2024

Choose GPT-4

  • you want predictable pricing at $30.00/M input and $60.00/M output

At a glance

The differences that matter most.

Core performance indexes
16.5
#203
3.7
#288
15.9
#202
3.7
#280
1.7
#212
-5.1
#242
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.10 / M
$30.00 / M
Output price
$0.40 / M
$60.00 / M
Context window
1,048,576
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash
GPT-4
23.4#119
8.8#244
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 12 for GPT-4

2 shared

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

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 300.0x cheaper than GPT-4 ($30.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 150.0x cheaper than GPT-4 ($60.00/1M tokens).

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

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

Lowest available price from all providers
Sat Aug 29 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to GPT-4's 32,768 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash and GPT-4 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash

Text
Images
Audio
Video

GPT-4

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

Proprietary

Closed source

GPT-4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-4 was released on 2023-06-13.

Gemini 2.0 Flash is 18 months newer than GPT-4.

Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

1.5yr newer
GPT-4

Jun 13, 2023

3.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-4 has a cutoff of 2022-12-31.

Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

Gemini 2.0 Flash

Aug 2024

1.7 yr newer
GPT-4

Dec 2022

Provider Availability

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

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and GPT-4 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
GPT-4
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs GPT-4.

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

Gemini 2.0 Flash leads the LLM Stats Score 16.5 to 3.7. Gemini 2.0 Flash is made by Google and GPT-4 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%.

Is Gemini 2.0 Flash cheaper than GPT-4?

Gemini 2.0 Flash is 300.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. GPT-4 costs $30.00/M input and $60.00/M output via azure.

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

Gemini 2.0 Flash supports 1.0M tokens and GPT-4 supports 33K 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 and GPT-4?

Key differences include LLM Stats Score (16.5 vs 3.7), context window (1.0M vs 33K), input pricing ($0.10 vs $30.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and GPT-4?

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