Model Comparison

Gemini 1.0 Pro vs DeepSeek-V2.5

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is 4.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while DeepSeek-V2.5 is better at 2 benchmarks (MATH, MMLU).

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 3.6x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 5.4x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V2.5.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.0 Pro accepts 32,760 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while DeepSeek-V2.5 uses deepseek.

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

Gemini 1.0 Pro

Proprietary

Closed source

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while DeepSeek-V2.5 was released on 2024-05-08.

DeepSeek-V2.5 is 3 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

DeepSeek-V2.5

May 8, 2024

1.9 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V2.5'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-V2.5's cutoff date.

Gemini 1.0 Pro

Feb 2024

DeepSeek-V2.5

—

Provider Availability

Gemini 1.0 Pro is available from Google. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (32,760 tokens)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (74.7% vs 32.6%)
Higher MMLU score (80.4% vs 71.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
DeepSeek
DeepSeek-V2.5

FAQ

Common questions about Gemini 1.0 Pro vs DeepSeek-V2.5

DeepSeek-V2.5 significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and DeepSeek-V2.5 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%.
DeepSeek-V2.5 is 3.6x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek.
Gemini 1.0 Pro supports 33K tokens and DeepSeek-V2.5 supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 8K), input pricing ($0.50 vs $0.14/M), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and DeepSeek-V2.5 is developed by DeepSeek.