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Gemini 2.0 Flash vs GPT-4 Turbo

Gemini 2.0 Flash leads the LLM Stats Score 16.7 to 9.2. Gemini 2.0 Flash is 85.7x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.7 to 9.2, ranking #205 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 85.7x 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 16.7 and ranks #205 on LLM Stats
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 85.7x 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 Turbo

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

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
GPT-4 Turbo
OpenAI
Core performance indexes
LLM Stats Score
16.7
#205
9.2
#257
Reasoning
16.1
#205
9.3
#250
Coding
1.8
#216
7.3
#174
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.10 / M
$10.00 / M
Output price
$0.40 / M
$30.00 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash
GPT-4 Turbo
Math
23.6#122
17.4#188
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 6 for GPT-4 Turbo

2 shared

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

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Tue Sep 01 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 100.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 75.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).

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

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

Lowest available price from all providers
Tue Sep 01 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
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 accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 2.0 Flash can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemini 2.0 Flash

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

Proprietary

Closed source

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-4 Turbo was released on 2024-04-09.

Gemini 2.0 Flash is 8 months newer than GPT-4 Turbo.

Gemini 2.0 Flash

Dec 1, 2024

1.8 years ago

7mo newer
GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-4 Turbo has a cutoff of 2023-12-31.

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 Turbo (2023-12-31).

Gemini 2.0 Flash

Aug 2024

8 mo newer
GPT-4 Turbo

Dec 2023

Provider Availability

Gemini 2.0 Flash is available from Google. GPT-4 Turbo 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 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→

Judge for yourself.

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

Gemini 2.0 Flash
✓ Preferred
GPT-4 Turbo
Open in Playground

FAQ

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

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

Gemini 2.0 Flash leads the LLM Stats Score 16.7 to 9.2. Gemini 2.0 Flash is made by Google and GPT-4 Turbo 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 Turbo 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 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

Is Gemini 2.0 Flash cheaper than GPT-4 Turbo?

Gemini 2.0 Flash is 100.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/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 and GPT-4 Turbo?

Gemini 2.0 Flash 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 and GPT-4 Turbo?

Key differences include LLM Stats Score (16.7 vs 9.2), context window (1.0M vs 128K), input pricing ($0.10 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 and GPT-4 Turbo?

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

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