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DeepSeek-V4-Flash-0731 vs Gemma 3 1B

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to -10.5.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to -10.5, ranking #36 overall.

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

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 44.7 and ranks #36 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2026

Choose Gemma 3 1B

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
Gemma 3 1B
Google
Core performance indexes
LLM Stats Score
44.7
#36
-10.5
#367
Reasoning
42.3
#46
-12.2
#361
Coding
33.0
#37
-10.2
#264
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 18 for Gemma 3 1B

No common benchmarks found

DeepSeek-V4-Flash-0731 and Gemma 3 1Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

303.0B diff

DeepSeek-V4-Flash-0731 has 303.0B more parameters than Gemma 3 1B, making it 30300.0% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Google
Gemma 3 1B
1.0Bparameters
304.0B
DeepSeek-V4-Flash-0731
1.0B
Gemma 3 1B

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Gemma 3 1B uses Gemma.

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

DeepSeek-V4-Flash-0731

MIT

Open weights

Gemma 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Gemma 3 1B was released on 2025-03-12.

DeepSeek-V4-Flash-0731 is 17 months newer than Gemma 3 1B.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1.4yr newer
Gemma 3 1B

Mar 12, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Gemma 3 1B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Gemma 3 1B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Gemma 3 1B.

Which is better, DeepSeek-V4-Flash-0731 or Gemma 3 1B?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to -10.5. DeepSeek-V4-Flash-0731 is made by DeepSeek and Gemma 3 1B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-0731 compare to Gemma 3 1B in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Gemma 3 1B?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Gemma 3 1B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0731 and Gemma 3 1B?

Key differences include LLM Stats Score (44.7 vs -10.5), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Gemma 3 1B?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Gemma 3 1B is developed by Google.

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