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DeepSeek-V4.1-Flash vs Gemini 1.0 Pro

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -5.4. DeepSeek-V4.1-Flash is 2.3x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to -5.4, ranking #12 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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 DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 2.3x cheaper per token
  • you process long inputs — it offers a 1,040,000 token context window
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Gemini 1.0 Pro
Google
Core performance indexes
LLM Stats Score
51.8
#12
-5.4
#356
Reasoning
48.9
#17
-8.0
#355
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
$0.50 / M
Output price
$0.66 / M
$1.50 / M
Context window
1,040,000
32,760

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash
Gemini 1.0 Pro
Math
35.2#43
-1.7#305
Vision
29.5#31
-8.7#204
Multimodal
34.3#13
-6.2#165
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 9 for Gemini 1.0 Pro

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Gemini 1.0 Pro is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 2.3x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 2.3x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V4.1-Flash.*

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

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas Gemini 1.0 Pro does not.

DeepSeek-V4.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Gemini 1.0 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Gemini 1.0 Pro uses a proprietary license.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Gemini 1.0 Pro was released on 2024-02-15.

DeepSeek-V4.1-Flash is 31 months newer than Gemini 1.0 Pro.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 days ago

2.6yr newer
Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V4.1-Flash's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.

DeepSeek-V4.1-Flash

—

Gemini 1.0 Pro

Feb 2024

Provider Availability

DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. Gemini 1.0 Pro is available from Google.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* 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 DeepSeek-V4.1-Flash and Gemini 1.0 Pro side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Gemini 1.0 Pro
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Gemini 1.0 Pro.

Which is better, DeepSeek-V4.1-Flash or Gemini 1.0 Pro?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -5.4. DeepSeek-V4.1-Flash is made by DeepSeek and Gemini 1.0 Pro 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-V4.1-Flash compare to Gemini 1.0 Pro in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

Is DeepSeek-V4.1-Flash cheaper than Gemini 1.0 Pro?

DeepSeek-V4.1-Flash is 2.3x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google.

What are the context window sizes for DeepSeek-V4.1-Flash and Gemini 1.0 Pro?

DeepSeek-V4.1-Flash supports 1.0M tokens and Gemini 1.0 Pro supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash and Gemini 1.0 Pro?

Key differences include LLM Stats Score (51.8 vs -5.4), context window (1.0M vs 33K), input pricing ($0.22 vs $0.50/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Gemini 1.0 Pro?

DeepSeek-V4.1-Flash is developed by DeepSeek and Gemini 1.0 Pro is developed by Google.

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