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DeepSeek-V4-Pro-0813 vs MiniCPM-SALA

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 12.7.

DeepSeek · OpenBMB · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 54.1 to 12.7, ranking #7 overall.

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

Choose DeepSeek-V4-Pro-0813

  • overall performance matters — it scores 54.1 and ranks #7 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

Choose MiniCPM-SALA

  • you are already invested in the OpenBMB ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
MiniCPM-SALA
OpenBMB
Core performance indexes
LLM Stats Score
54.1
#7
12.7
#230
Reasoning
51.5
#8
14.2
#214
Coding
44.2
#7
21.1
#80
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Pro-0813
MiniCPM-SALA
Math
41.8#6
14.3#207
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 24 for MiniCPM-SALA

No common benchmarks found

DeepSeek-V4-Pro-0813 and MiniCPM-SALAdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1590.5B diff

DeepSeek-V4-Pro-0813 has 1590.5B more parameters than MiniCPM-SALA, making it 16782.6% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
OpenBMB
MiniCPM-SALA
9.5Bparameters
1600.0B
DeepSeek-V4-Pro-0813
9.5B
MiniCPM-SALA

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
OpenBMB
MiniCPM-SALA
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while MiniCPM-SALA uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

MiniCPM-SALA

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while MiniCPM-SALA was released on 2026-02-11.

DeepSeek-V4-Pro-0813 is 6 months newer than MiniCPM-SALA.

DeepSeek-V4-Pro-0813

Aug 13, 2026

2 weeks ago

6mo newer
MiniCPM-SALA

Feb 11, 2026

6 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and MiniCPM-SALA side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
MiniCPM-SALA
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs MiniCPM-SALA.

Which is better, DeepSeek-V4-Pro-0813 or MiniCPM-SALA?

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 12.7. DeepSeek-V4-Pro-0813 is made by DeepSeek 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 DeepSeek-V4-Pro-0813 compare to MiniCPM-SALA in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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 DeepSeek-V4-Pro-0813 and MiniCPM-SALA?

DeepSeek-V4-Pro-0813 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 DeepSeek-V4-Pro-0813 and MiniCPM-SALA?

Key differences include LLM Stats Score (54.1 vs 12.7), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and MiniCPM-SALA?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and MiniCPM-SALA is developed by OpenBMB.

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