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Gemini 3.7 Flash vs GPT-4 Turbo

Comparing Gemini 3.7 Flash and GPT-4 Turbo across benchmarks, pricing, and capabilities.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.7 Flash and GPT-4 Turbo trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 3.7 Flash is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 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 benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • cost matters — it's about 10.0x 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 Aug 2026

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 3.7 Flash
Google
GPT-4 Turbo
OpenAI
Benchmark wins
—
—
Input price
$0.75 / M
$10.00 / M
Output price
$3.75 / M
$30.00 / M
Context window
1,048,576
128,000
Released
Aug 2026
Apr 2024
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and GPT-4 Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 3.7 Flash costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 13.3x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 8.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Gemini 3.7 Flash.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
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 3.7 Flash accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 3.7 Flash can generate longer responses up to 65,536 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.7 Flash supports multimodal inputs, whereas GPT-4 Turbo does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.7 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 3.7 Flash

Proprietary

Closed source

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while GPT-4 Turbo was released on 2024-04-09.

Gemini 3.7 Flash is 29 months newer than GPT-4 Turbo.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

2.3yr newer
GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while GPT-4 Turbo has a cutoff of 2023-12-31.

Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).

Gemini 3.7 Flash

Mar 2026

2.3 yr newer
GPT-4 Turbo

Dec 2023

Provider Availability

Gemini 3.7 Flash is available from Google. GPT-4 Turbo is available from Azure, OpenAI.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

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 3.7 Flash and GPT-4 Turbo side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
GPT-4 Turbo
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs GPT-4 Turbo.

Which is better, Gemini 3.7 Flash or GPT-4 Turbo?

Gemini 3.7 Flash (Google) and GPT-4 Turbo (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to GPT-4 Turbo in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

Is Gemini 3.7 Flash cheaper than GPT-4 Turbo?

Gemini 3.7 Flash is 13.3x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/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 3.7 Flash and GPT-4 Turbo?

Gemini 3.7 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 3.7 Flash and GPT-4 Turbo?

Key differences include context window (1.0M vs 128K), input pricing ($0.75 vs $10.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and GPT-4 Turbo?

Gemini 3.7 Flash is developed by Google and GPT-4 Turbo is developed by OpenAI.

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