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Gemini 1.5 Flash vs MiniCPM-SALA

MiniCPM-SALA leads the LLM Stats Score 12.7 to 6.6.

Google · OpenBMB · Updated for 2026

Which is better?

MiniCPM-SALA leads the overall LLM Stats Score 12.7 to 6.6, ranking #230 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Gemini 1.5 Flash

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose MiniCPM-SALA

  • overall performance matters — it scores 12.7 and ranks #230 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
6.6
#272
12.7
#230
6.2
#271
14.2
#214
-0.3
#227
21.1
#80
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Flash
MiniCPM-SALA
11.0#233
14.3#207
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Gemini 1.5 Flash · 24 for MiniCPM-SALA

2 shared

Gemini 1.5 Flash outperforms in 1 benchmarks (MMLU-Pro), while MiniCPM-SALA is better at 1 benchmark (HumanEval).

Both models are evenly matched across the benchmarks.

Fri Aug 28 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 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenBMB
MiniCPM-SALA
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Flash supports multimodal inputs, whereas MiniCPM-SALA does not.

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

Gemini 1.5 Flash

Text
Images
Audio
Video

MiniCPM-SALA

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash is licensed under a proprietary license, while MiniCPM-SALA uses Apache 2.0.

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

Gemini 1.5 Flash

Proprietary

Closed source

MiniCPM-SALA

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while MiniCPM-SALA was released on 2026-02-11.

MiniCPM-SALA is 22 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.3 years ago

MiniCPM-SALA

Feb 11, 2026

6 months ago

1.8yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while MiniCPM-SALA's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without MiniCPM-SALA's cutoff date.

Gemini 1.5 Flash

Nov 2023

MiniCPM-SALA

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash and MiniCPM-SALA side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash
✓ Preferred
MiniCPM-SALA
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash vs MiniCPM-SALA.

Which is better, Gemini 1.5 Flash or MiniCPM-SALA?

MiniCPM-SALA leads the LLM Stats Score 12.7 to 6.6. Gemini 1.5 Flash is made by Google and MiniCPM-SALA is made by OpenBMB. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.5 Flash compare to MiniCPM-SALA in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. MiniCPM-SALA scores HumanEval: 95.1%, RULER 64k: 92.7%, RULER 128k: 89.4%, MBPP: 89.1%, RULER 512K: 87.1%.

What are the context window sizes for Gemini 1.5 Flash and MiniCPM-SALA?

Gemini 1.5 Flash supports 1.0M tokens and MiniCPM-SALA 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 1.5 Flash and MiniCPM-SALA?

Key differences include LLM Stats Score (6.6 vs 12.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and MiniCPM-SALA?

Gemini 1.5 Flash is developed by Google and MiniCPM-SALA is developed by OpenBMB.