Model Comparison

MiniMax M2.5 vs Mistral NeMo Instruct

Comparing MiniMax M2.5 and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.5 and Mistral NeMo Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, MiniMax M2.5 ($0.30/1M tokens) is 2.0x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

For output processing, MiniMax M2.5 ($1.20/1M tokens) is 8.0x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

In conclusion, MiniMax M2.5 is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers
Wed May 27 2026 • llm-stats.com
MiniMax
MiniMax M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Mistral AI
Mistral NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

218.0B diff

MiniMax M2.5 has 218.0B more parameters than Mistral NeMo Instruct, making it 1816.7% larger.

MiniMax
MiniMax M2.5
230.0Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
230.0B
MiniMax M2.5
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

MiniMax M2.5 accepts 1,000,000 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Mistral NeMo Instruct is limited to 128,000 tokens.

MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Wed May 27 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2.5 is licensed under MIT, while Mistral NeMo Instruct uses Apache 2.0.

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

MiniMax M2.5

MIT

Open weights

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniMax M2.5 was released on 2026-02-12, while Mistral NeMo Instruct was released on 2024-07-18.

MiniMax M2.5 is 19 months newer than Mistral NeMo Instruct.

MiniMax M2.5

Feb 12, 2026

3 months ago

1.6yr newer
Mistral NeMo Instruct

Jul 18, 2024

1.9 years 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

MiniMax M2.5 is available from MiniMax. Mistral NeMo Instruct is available from Google, Mistral AI.

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Mistral NeMo Instruct

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

MiniMax
Larger context window (1,000,000 tokens)
Mistral AI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.5
Mistral AI
Mistral NeMo Instruct

FAQ

Common questions about MiniMax M2.5 vs Mistral NeMo Instruct.

Which is better, MiniMax M2.5 or Mistral NeMo Instruct?

MiniMax M2.5 (MiniMax) and Mistral NeMo Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiniMax M2.5 compare to Mistral NeMo Instruct in benchmarks?

MiniMax M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

Is MiniMax M2.5 cheaper than Mistral NeMo Instruct?

Mistral NeMo Instruct is 2.0x cheaper for input tokens. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google.

What are the context window sizes for MiniMax M2.5 and Mistral NeMo Instruct?

MiniMax M2.5 supports 1.0M tokens and Mistral NeMo Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2.5 and Mistral NeMo Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2.5 and Mistral NeMo Instruct?

MiniMax M2.5 is developed by MiniMax and Mistral NeMo Instruct is developed by Mistral AI.