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Gemini 1.0 Pro vs K2 Horizon 0.9B

Gemini 1.0 Pro and K2 Horizon 0.9B are closely matched at -5.8 and 0.5 on the LLM Stats Score.

Google · Institute of Foundation Models · Updated for 2026

Which is better?

Gemini 1.0 Pro and K2 Horizon 0.9B are closely matched on the overall LLM Stats Score at -5.8 and 0.5.

In the 1 individual benchmarks reported for both models, Gemini 1.0 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 1.0 Pro

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose K2 Horizon 0.9B

  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
K2 Horizon 0.9B
Institute of Foundation Models
Core performance indexes
LLM Stats Score
-5.8
#394
0.5
#358
Reasoning
-8.4
#393
0.6
#350
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
32,760
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.0 Pro
K2 Horizon 0.9B
Math
-1.8#327
3.3#308
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 8 for K2 Horizon 0.9B

1 shared

Gemini 1.0 Pro outperforms in 1 benchmarks (GPQA), while K2 Horizon 0.9B is better at 0 benchmarks.

Gemini 1.0 Pro significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Institute of Foundation Models
K2 Horizon 0.9B
Input- tokens
Output- tokens
Fri Oct 30 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while K2 Horizon 0.9B uses Apache 2.0.

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

Gemini 1.0 Pro

Proprietary

Closed source

K2 Horizon 0.9B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while K2 Horizon 0.9B was released on 2026-09-03.

K2 Horizon 0.9B is 31 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.7 years ago

K2 Horizon 0.9B

Sep 3, 2026

1 months ago

2.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while K2 Horizon 0.9B'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 K2 Horizon 0.9B's cutoff date.

Gemini 1.0 Pro

Feb 2024

K2 Horizon 0.9B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and K2 Horizon 0.9B side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
K2 Horizon 0.9B
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs K2 Horizon 0.9B.

Which is better, Gemini 1.0 Pro or K2 Horizon 0.9B?

Gemini 1.0 Pro and K2 Horizon 0.9B are closely matched on the LLM Stats Score at -5.8 and 0.5. Gemini 1.0 Pro is made by Google and K2 Horizon 0.9B is made by Institute of Foundation Models. 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 K2 Horizon 0.9B in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. K2 Horizon 0.9B scores HumanEval+: 79.9%, MBPP+: 68.0%, AIME 2026: 48.5%, AIME 2025: 41.7%, LiveCodeBench v6: 37.4%.

What are the context window sizes for Gemini 1.0 Pro and K2 Horizon 0.9B?

Gemini 1.0 Pro supports 33K tokens and K2 Horizon 0.9B 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 Gemini 1.0 Pro and K2 Horizon 0.9B?

Key differences include LLM Stats Score (-5.8 vs 0.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and K2 Horizon 0.9B?

Gemini 1.0 Pro is developed by Google and K2 Horizon 0.9B is developed by Institute of Foundation Models.

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