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DeepSeek-V4-Pro-0813 vs MiniMax M2.5

Comparing DeepSeek-V4-Pro-0813 and MiniMax M2.5 across benchmarks, pricing, and capabilities.

DeepSeek · MiniMax · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and MiniMax M2.5 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose MiniMax M2.5

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
MiniMax M2.5
MiniMax
Benchmark wins
—
—
Input price
$0.43 / M
$0.30 / M
Output price
$0.87 / M
$1.20 / M
Context window
1,048,576
1,000,000
Released
Aug 2026
Feb 2026
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and MiniMax M2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

MiniMax M2.5 costs less

For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.4x more expensive than MiniMax M2.5 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.4x cheaper than MiniMax M2.5 ($1.20/1M tokens).

In conclusion, DeepSeek-V4-Pro-0813 is more expensive than MiniMax M2.5.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Pro-0813
Input tokens$0.43
Output tokens$0.87
Best providerDeepSeek
MiniMax
MiniMax M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

1370.0B diff

DeepSeek-V4-Pro-0813 has 1370.0B more parameters than MiniMax M2.5, making it 595.7% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
MiniMax
MiniMax M2.5
230.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
230.0B
MiniMax M2.5

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to MiniMax M2.5's 1,000,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while DeepSeek-V4-Pro-0813 is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4-Pro-0813

MIT

Open weights

MiniMax M2.5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while MiniMax M2.5 was released on 2026-02-12.

DeepSeek-V4-Pro-0813 is 6 months newer than MiniMax M2.5.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

6mo newer
MiniMax M2.5

Feb 12, 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

Provider Availability

DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. MiniMax M2.5 is available from MiniMax.

DeepSeek-V4-Pro-0813

deepseek logo
DeepSeek
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.30/1MOutput Price:Output: $2.60/1M
novita logo
Novita
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M
together logo
Together
Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 DeepSeek-V4-Pro-0813 and MiniMax M2.5 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
MiniMax M2.5
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs MiniMax M2.5.

Which is better, DeepSeek-V4-Pro-0813 or MiniMax M2.5?

DeepSeek-V4-Pro-0813 (DeepSeek) and MiniMax M2.5 (MiniMax) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to MiniMax M2.5 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%. MiniMax M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%.

Is DeepSeek-V4-Pro-0813 cheaper than MiniMax M2.5?

MiniMax M2.5 is 1.4x cheaper for input tokens. DeepSeek-V4-Pro-0813 costs $0.43/M input and $0.87/M output via deepseek. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for DeepSeek-V4-Pro-0813 and MiniMax M2.5?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and MiniMax M2.5 supports 1.0M 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 MiniMax M2.5?

Key differences include context window (1.0M vs 1.0M), input pricing ($0.43 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and MiniMax M2.5?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and MiniMax M2.5 is developed by MiniMax.

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