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Ling 3.1 Flash vs Llama 3.3 70B Instruct

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 13.8.

InclusionAI · Meta · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 13.8, 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Llama 3.3 70B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
51.0
#15
13.8
#257
47.5
#26
11.7
#267
38.8
#18
9.2
#187
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
131,072

Individual benchmarks

11 reported for Ling 3.1 Flash · 9 for Llama 3.3 70B Instruct

No common benchmarks found

Ling 3.1 Flash and Llama 3.3 70B 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

490.0B diff

Ling 3.1 Flash has 490.0B more parameters than Llama 3.3 70B Instruct, making it 700.0% larger.

InclusionAI
Ling 3.1 Flash
560.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
560.0B
Ling 3.1 Flash
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (131,072 tokens). Only Llama 3.3 70B Instruct specifies output context (131,072 tokens).

InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Fri Oct 09 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.1 Flash was released on 2026-09-30, while Llama 3.3 70B Instruct was released on 2024-12-06.

Ling 3.1 Flash is 22 months newer than Llama 3.3 70B Instruct.

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1.8yr newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.8 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 Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Ling 3.1 Flash
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about Ling 3.1 Flash vs Llama 3.3 70B Instruct.

Which is better, Ling 3.1 Flash or Llama 3.3 70B Instruct?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 13.8. Ling 3.1 Flash is made by InclusionAI and Llama 3.3 70B Instruct is made by Meta. 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 Llama 3.3 70B Instruct in benchmarks?

Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for Ling 3.1 Flash and Llama 3.3 70B Instruct?

Ling 3.1 Flash supports an unknown number of tokens and Llama 3.3 70B 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 Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (51.0 vs 13.8), licensing (Unknown vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.1 Flash and Llama 3.3 70B Instruct?

Ling 3.1 Flash is developed by InclusionAI and Llama 3.3 70B Instruct is developed by Meta.