The AI arena is free today

Open Superagent

Gemini 3.7 Flash vs Gemma 3 27B

Gemini 3.7 Flash significantly outperforms across most benchmarks. Gemma 3 27B is 12.0x cheaper per token.

Google · Google · Updated for 2026

Which is better?

Gemini 3.7 Flash outperforms in 1 benchmarks (MRCR v2 (8-needle)), while Gemma 3 27B is better at 0 benchmarks. Gemini 3.7 Flash significantly outperforms across most benchmarks.

On price, Gemma 3 27B is roughly 12.0x 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

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • 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 Gemma 3 27B

  • cost matters — it's about 12.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
$0.75 / M
$0.10 / M
Output price
$3.75 / M
$0.20 / M
Context window
1,048,576
131,072
Released
Aug 2026
Mar 2025
License
Proprietary
Gemma

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.7 Flash outperforms in 1 benchmarks (MRCR v2 (8-needle)), while Gemma 3 27B is better at 0 benchmarks.

Gemini 3.7 Flash significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 7.5x more expensive than Gemma 3 27B ($0.10/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 18.8x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, Gemini 3.7 Flash is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
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 Gemma 3 27B's 131,072 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Gemma 3 27B support multimodal inputs.

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

Gemini 3.7 Flash

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Gemma 3 27B uses Gemma.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.7 Flash

Proprietary

Closed source

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Gemma 3 27B was released on 2025-03-12.

Gemini 3.7 Flash is 17 months newer than Gemma 3 27B.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

1.4yr newer
Gemma 3 27B

Mar 12, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Gemma 3 27B's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemini 3.7 Flash

Mar 2026

Gemma 3 27B

Provider Availability

Gemini 3.7 Flash is available from Google. Gemma 3 27B is available from DeepInfra, Novita.

Gemini 3.7 Flash

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

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M
* 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 Gemma 3 27B side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Gemma 3 27B
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Gemma 3 27B.

Which is better, Gemini 3.7 Flash or Gemma 3 27B?

Gemini 3.7 Flash significantly outperforms across most benchmarks. Gemini 3.7 Flash is made by Google and Gemma 3 27B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.7 Flash compare to Gemma 3 27B 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%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.

Is Gemini 3.7 Flash cheaper than Gemma 3 27B?

Gemma 3 27B is 7.5x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for Gemini 3.7 Flash and Gemma 3 27B?

Gemini 3.7 Flash supports 1.0M tokens and Gemma 3 27B supports 131K 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 Gemma 3 27B?

Key differences include context window (1.0M vs 131K), input pricing ($0.75 vs $0.10/M), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.