Model Comparison

DeepSeek-V3 vs Gemini 1.0 ProWhich is better in 2026?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.6x cheaper per token.

Verdict: DeepSeek-V3 vs Gemini 1.0 Pro — which is better?

DeepSeek-V3 (by DeepSeek) and Gemini 1.0 Pro (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V3 outperforms in 2 benchmarks (GPQA, MMLU), while Gemini 1.0 Pro is better at 0 benchmarks. DeepSeek-V3 significantly outperforms across most benchmarks.

On price, DeepSeek-V3 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 1.6x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro if…

  • you want predictable pricing at $0.50/M input and $1.50/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 outperforms in 2 benchmarks (GPQA, MMLU), while Gemini 1.0 Pro is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.9x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 1.4x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
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-V3 accepts 131,072 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemini 1.0 Pro was released on 2024-02-15.

DeepSeek-V3 is 10 months newer than Gemini 1.0 Pro.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

10mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V3'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-V3's cutoff date.

DeepSeek-V3

—

Gemini 1.0 Pro

Feb 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. Gemini 1.0 Pro is available from Google.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (59.1% vs 27.9%)
Higher MMLU score (88.5% vs 71.8%)
Google

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemini 1.0 Pro

FAQ

Common questions about DeepSeek-V3 vs Gemini 1.0 Pro.

Which is better, DeepSeek-V3 or Gemini 1.0 Pro?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Gemini 1.0 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to Gemini 1.0 Pro in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%.

Is DeepSeek-V3 cheaper than Gemini 1.0 Pro?

DeepSeek-V3 is 1.9x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google.

What are the context window sizes for DeepSeek-V3 and Gemini 1.0 Pro?

DeepSeek-V3 supports 131K 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-V3 and Gemini 1.0 Pro?

Key differences include context window (131K vs 33K), input pricing ($0.27 vs $0.50/M), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemini 1.0 Pro?

DeepSeek-V3 is developed by DeepSeek and Gemini 1.0 Pro is developed by Google.

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