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Ling 3.1 Flash vs Mistral NeMo Instruct

Ling 3.1 Flash leads the LLM Stats Score 51.0 to -4.8.

InclusionAI · Mistral AI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to -4.8, ranking #15 overall.

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

Choose Ling 3.1 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral NeMo Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Ling 3.1 Flash
InclusionAI
Mistral NeMo Instruct
Mistral AI
Core performance indexes
LLM Stats Score
51.0
#15
-4.8
#369
Reasoning
47.5
#26
-5.0
#361
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.02 / M
Output price
— / M
$0.03 / M
Context window
—
131,072

Individual benchmarks

11 reported for Ling 3.1 Flash · 8 for Mistral NeMo Instruct

No common benchmarks found

Ling 3.1 Flash and Mistral NeMo Instructdon'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

548.0B diff

Ling 3.1 Flash has 548.0B more parameters than Mistral NeMo Instruct, making it 4566.7% larger.

InclusionAI
Ling 3.1 Flash
560.0Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
560.0B
Ling 3.1 Flash
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (131,072 tokens). Only Mistral NeMo Instruct specifies output context (131,072 tokens).

InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 tokens
Thu Oct 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.1 Flash was released on 2026-09-30, while Mistral NeMo Instruct was released on 2024-07-18.

Ling 3.1 Flash is 27 months newer than Mistral NeMo Instruct.

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

2.2yr 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ling 3.1 Flash and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

Ling 3.1 Flash
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about Ling 3.1 Flash vs Mistral NeMo Instruct.

Which is better, Ling 3.1 Flash or Mistral NeMo Instruct?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to -4.8. Ling 3.1 Flash is made by InclusionAI 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 Ling 3.1 Flash compare to Mistral NeMo Instruct in benchmarks?

Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

What are the context window sizes for Ling 3.1 Flash and Mistral NeMo Instruct?

Ling 3.1 Flash supports an unknown number of 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 Ling 3.1 Flash and Mistral NeMo Instruct?

Key differences include LLM Stats Score (51.0 vs -4.8), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.1 Flash and Mistral NeMo Instruct?

Ling 3.1 Flash is developed by InclusionAI and Mistral NeMo Instruct is developed by Mistral AI.

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