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DeepSeek-V3 vs Mistral NeMo Instruct

DeepSeek-V3 leads the LLM Stats Score 15.7 to -4.8. Mistral NeMo Instruct is 19.5x cheaper per token.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V3 leads the overall LLM Stats Score 15.7 to -4.8, ranking #227 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V3 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral NeMo Instruct is roughly 19.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose DeepSeek-V3

  • overall performance matters — it scores 15.7 and ranks #227 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Dec 2024

Choose Mistral NeMo Instruct

  • cost matters — it's about 19.5x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Mistral NeMo Instruct
Mistral AI
Core performance indexes
LLM Stats Score
15.7
#227
-4.8
#352
Reasoning
14.8
#226
-5.0
#344
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.27 / M
$0.02 / M
Output price
$0.89 / M
$0.03 / M
Context window
131,072
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V3
Mistral NeMo Instruct
Finance
19.9#82
-8.1#221
Legal
19.9#67
-8.1#204
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 8 for Mistral NeMo Instruct

1 shared

DeepSeek-V3 outperforms in 1 benchmarks (MMLU), while Mistral NeMo Instruct is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 14.2x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 29.7x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers
Sun Sep 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Mistral AI
Mistral NeMo Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

659.0B diff

DeepSeek-V3 has 659.0B more parameters than Mistral NeMo Instruct, making it 5491.7% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
671.0B
DeepSeek-V3
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 tokens
Sun Sep 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Mistral NeMo Instruct uses Apache 2.0.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Mistral NeMo Instruct was released on 2024-07-18.

DeepSeek-V3 is 5 months newer than Mistral NeMo Instruct.

DeepSeek-V3

Dec 25, 2024

1.7 years ago

5mo newer
Mistral NeMo Instruct

Jul 18, 2024

2.2 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

DeepSeek-V3 is available from DeepSeek, DeepInfra. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Mistral NeMo Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.03/1M
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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Mistral NeMo Instruct.

Which is better, DeepSeek-V3 or Mistral NeMo Instruct?

DeepSeek-V3 leads the LLM Stats Score 15.7 to -4.8. DeepSeek-V3 is made by DeepSeek and Mistral NeMo Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 compare to Mistral NeMo Instruct in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

Is DeepSeek-V3 cheaper than Mistral NeMo Instruct?

Mistral NeMo Instruct is 14.2x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Mistral NeMo Instruct costs $0.02/M input and $0.03/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Mistral NeMo Instruct?

DeepSeek-V3 supports 131K tokens and Mistral NeMo Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 and Mistral NeMo Instruct?

Key differences include LLM Stats Score (15.7 vs -4.8), input pricing ($0.27 vs $0.02/M), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Mistral NeMo Instruct?

DeepSeek-V3 is developed by DeepSeek and Mistral NeMo Instruct is developed by Mistral AI.

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