The AI arena is free today

Open Superagent

Gemini 1.5 Flash 8B vs GPT-4 Turbo

GPT-4 Turbo leads the LLM Stats Score 8.7 to -1.2. Gemini 1.5 Flash 8B is 117.6x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

GPT-4 Turbo leads the overall LLM Stats Score 8.7 to -1.2, ranking #309 overall.

In the 2 individual benchmarks reported for both models, GPT-4 Turbo wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 1.5 Flash 8B is roughly 117.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

  • cost matters — it's about 117.6x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose GPT-4 Turbo

  • overall performance matters — it scores 8.7 and ranks #309 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
  • you want the most recent training data — it shipped Apr 2024

At a glance

The differences that matter most.

Gemini 1.5 Flash 8B
Google
GPT-4 Turbo
OpenAI
Core performance indexes
LLM Stats Score
-1.2
#372
8.7
#309
Reasoning
-0.9
#363
8.7
#304
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.07 / M
$10.00 / M
Output price
$0.30 / 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 1.5 Flash 8B
GPT-4 Turbo
Math
2.3#316
17.2#213
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 6 for GPT-4 Turbo

2 shared

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while GPT-4 Turbo is better at 2 benchmarks (GPQA, MATH).

GPT-4 Turbo significantly outperforms across most benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash 8B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 142.9x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($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 1.5 Flash 8B.*

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

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
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?

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 1.5 Flash 8B can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Flash 8B supports multimodal inputs, whereas GPT-4 Turbo does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

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 1.5 Flash 8B

Proprietary

Closed source

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while GPT-4 Turbo was released on 2024-04-09.

GPT-4 Turbo is 1 month newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.6 years ago

GPT-4 Turbo

Apr 9, 2024

2.6 years ago

3w newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while GPT-4 Turbo has a cutoff of 2023-12-31.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).

Gemini 1.5 Flash 8B

Oct 2024

10 mo newer
GPT-4 Turbo

Dec 2023

Provider Availability

Gemini 1.5 Flash 8B is available from Google. GPT-4 Turbo is available from Azure, OpenAI.

Gemini 1.5 Flash 8B

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?

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash 8B and GPT-4 Turbo side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
GPT-4 Turbo
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs GPT-4 Turbo.

Which is better, Gemini 1.5 Flash 8B or GPT-4 Turbo?

GPT-4 Turbo leads the LLM Stats Score 8.7 to -1.2. Gemini 1.5 Flash 8B 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 1.5 Flash 8B compare to GPT-4 Turbo in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

Is Gemini 1.5 Flash 8B cheaper than GPT-4 Turbo?

Gemini 1.5 Flash 8B is 142.9x cheaper for input tokens. Gemini 1.5 Flash 8B 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 1.5 Flash 8B and GPT-4 Turbo?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B and GPT-4 Turbo?

Key differences include LLM Stats Score (-1.2 vs 8.7), 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 1.5 Flash 8B and GPT-4 Turbo?

Gemini 1.5 Flash 8B is developed by Google and GPT-4 Turbo is developed by OpenAI.

Related comparisons