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Gemini 1.0 Pro vs Gemini 1.5 Pro

Gemini 1.5 Pro leads the LLM Stats Score 12.5 to -4.8. Gemini 1.0 Pro is 5.8x cheaper per token.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Pro leads the overall LLM Stats Score 12.5 to -4.8, ranking #233 overall.

In the 7 individual benchmarks reported for both models, Gemini 1.5 Pro wins 6; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 1.0 Pro is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 Gemini 1.0 Pro

  • cost matters — it's about 5.8x cheaper per token

Choose Gemini 1.5 Pro

  • overall performance matters — it scores 12.5 and ranks #233 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 7 exact shared results
  • you process long inputs — it offers a 2,097,152 token context window
  • you want the most recent training data — it shipped May 2024

At a glance

The differences that matter most.

Core performance indexes
-4.8
#335
12.5
#233
-7.4
#334
12.2
#229
Cost, coverage & limits
Benchmark wins
1 of 7
6 of 7
Input price
$0.50 / M
$2.50 / M
Output price
$1.50 / M
$10.00 / M
Context window
32,760
2,097,152

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.0 Pro
Gemini 1.5 Pro
-1.3#290
17.1#186
-8.3#195
9.8#120
-5.9#156
13.8#92
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 23 for Gemini 1.5 Pro

7 shared

Gemini 1.0 Pro outperforms in 1 benchmarks (FLEURS), while Gemini 1.5 Pro is better at 6 benchmarks (GPQA, MATH, MathVista, MMLU, MMMU, WMT23).

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Sat Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 5.0x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 6.7x cheaper than Gemini 1.5 Pro ($10.00/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Sat Aug 29 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Pro supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Gemini 1.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.0 Pro

Proprietary

Closed source

Gemini 1.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Gemini 1.5 Pro was released on 2024-05-01.

Gemini 1.5 Pro is 3 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.5 years ago

Gemini 1.5 Pro

May 1, 2024

2.3 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Gemini 1.5 Pro has a cutoff of 2023-11-01.

Gemini 1.0 Pro has more recent training data (up to 2024-02-01), making it potentially better informed about events through that date compared to Gemini 1.5 Pro (2023-11-01).

Gemini 1.0 Pro

Feb 2024

3 mo newer
Gemini 1.5 Pro

Nov 2023

Provider Availability

Gemini 1.0 Pro is available from Google. Gemini 1.5 Pro is available from Google.

Gemini 1.0 Pro

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

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* 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 1.0 Pro and Gemini 1.5 Pro side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Gemini 1.5 Pro
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Gemini 1.5 Pro.

Which is better, Gemini 1.0 Pro or Gemini 1.5 Pro?

Gemini 1.5 Pro leads the LLM Stats Score 12.5 to -4.8. Gemini 1.0 Pro is made by Google and Gemini 1.5 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 Gemini 1.0 Pro compare to Gemini 1.5 Pro in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%.

Is Gemini 1.0 Pro cheaper than Gemini 1.5 Pro?

Gemini 1.0 Pro is 5.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google.

What are the context window sizes for Gemini 1.0 Pro and Gemini 1.5 Pro?

Gemini 1.0 Pro supports 33K tokens and Gemini 1.5 Pro supports 2.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and Gemini 1.5 Pro?

Key differences include LLM Stats Score (-4.8 vs 12.5), context window (33K vs 2.1M), input pricing ($0.50 vs $2.50/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.