Llama 3.3 70B Instruct vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 14.0. Llama 3.3 70B Instruct is 1.1x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 14.0, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.3 70B Instruct is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.8 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Llama 3.3 70B Instruct

cost matters — it's about 1.1x cheaper per token
you need open weights you can self-host or fine-tune

Choose Qwen3.8 Flash

overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
your work emphasizes reasoning and coding — it leads those capability indexes
you value its reported benchmark strengths — it wins 1 of 1 exact shared results
you process long inputs — it offers a 1,000,000 token context window
you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Better token value: Llama 3.3 70B Instruct

Llama 3.3 70B Instruct

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

Llama 3.3 70B Instruct

Qwen3.8 Flash

Math

17.7#183 · 4 evals

32.6#55 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 22 for Qwen3.8 Flash

1 shared

Llama 3.3 70B Instruct outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (GPQA).

Qwen3.8 Flash significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 1.3x more expensive than Qwen3.8 Flash ($0.15/1M tokens).

For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 2.3x cheaper than Qwen3.8 Flash ($0.47/1M tokens).

In conclusion, Qwen3.8 Flash is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers

Mon Aug 31 2026 • llm-stats.com

Llama 3.3 70B Instruct

Input tokens$0.20

Output tokens$0.20

Best providerLambda

Qwen3.8 Flash

Input tokens$0.15

Output tokens$0.47

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

55.0B diff

Qwen3.8 Flash has 55.0B more parameters than Llama 3.3 70B Instruct, making it 78.6% larger.

Llama 3.3 70B Instruct

70.0Bparameters

Qwen3.8 Flash

125.0Bparameters

70.0B

Llama 3.3 70B Instruct

125.0B

Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Qwen3.8 Flash accepts 1,000,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while Llama 3.3 70B Instruct is limited to 128,000 tokens.

Llama 3.3 70B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen3.8 Flash

Input1,000,000 tokens

Output131,072 tokens

Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Flash supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.3 70B Instruct

Text

Images

Audio

Video

Qwen3.8 Flash

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen3.8 Flash uses a proprietary license.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 21 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.7 years ago

Qwen3.8 Flash

Aug 26, 2026

5 days ago

1.7yr newer

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

Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Qwen3.8 Flash is available from Novita.

Llama 3.3 70B Instruct

Lambda

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Deepinfra

Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M

Hyperbolic

Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M

Groq

Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M

Sambanova

Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M

Cerebras

Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M

AWS Bedrock

Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M

Together

Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Qwen3.8 Flash

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.47/1M

* 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 Llama 3.3 70B Instruct and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct

✓ Preferred

Qwen3.8 Flash

Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen3.8 Flash.

Which is better, Llama 3.3 70B Instruct or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 14.0. Llama 3.3 70B Instruct is made by Meta and Qwen3.8 Flash is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.3 70B Instruct compare to Qwen3.8 Flash in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

Is Llama 3.3 70B Instruct cheaper than Qwen3.8 Flash?

Qwen3.8 Flash is 1.3x cheaper for input tokens. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Qwen3.8 Flash costs $0.15/M input and $0.47/M output via novita.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen3.8 Flash?

Llama 3.3 70B Instruct supports 128K tokens and Qwen3.8 Flash 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 Llama 3.3 70B Instruct and Qwen3.8 Flash?

Key differences include LLM Stats Score (14.0 vs 49.6), context window (128K vs 1.0M), input pricing ($0.20 vs $0.15/M), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Qwen3.8 Flash?

Llama 3.3 70B Instruct is developed by Meta and Qwen3.8 Flash is developed by Alibaba Cloud / Qwen Team.

Llama 3.3 70B Instruct vs Qwen3.8 Flash

Which is better?

Choose Llama 3.3 70B Instruct

Choose Qwen3.8 Flash

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

Input capabilities

Llama 3.3 70B Instruct

Qwen3.8 Flash

License

Release Timeline

Knowledge Cutoff

Provider Availability

Llama 3.3 70B Instruct

Qwen3.8 Flash

Outputs Comparison

Judge for yourself.

FAQ

Which is better, Llama 3.3 70B Instruct or Qwen3.8 Flash?

How does Llama 3.3 70B Instruct compare to Qwen3.8 Flash in benchmarks?

Is Llama 3.3 70B Instruct cheaper than Qwen3.8 Flash?

What are the context window sizes for Llama 3.3 70B Instruct and Qwen3.8 Flash?

What are the main differences between Llama 3.3 70B Instruct and Qwen3.8 Flash?

Who makes Llama 3.3 70B Instruct and Qwen3.8 Flash?

More Llama 3.3 70B Instruct comparisons

More Qwen3.8 Flash comparisons

Llama 3.3 70B Instruct vs Qwen3.8 Flash

Which is better?

Choose Llama 3.3 70B Instruct

Choose Qwen3.8 Flash

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

Input capabilities

Llama 3.3 70B Instruct

Qwen3.8 Flash

License

Release Timeline

Knowledge Cutoff

Provider Availability

Llama 3.3 70B Instruct

Qwen3.8 Flash

Outputs Comparison

Judge for yourself.

Which is better, Llama 3.3 70B Instruct or Qwen3.8 Flash?

How does Llama 3.3 70B Instruct compare to Qwen3.8 Flash in benchmarks?

Is Llama 3.3 70B Instruct cheaper than Qwen3.8 Flash?

What are the context window sizes for Llama 3.3 70B Instruct and Qwen3.8 Flash?

What are the main differences between Llama 3.3 70B Instruct and Qwen3.8 Flash?

Who makes Llama 3.3 70B Instruct and Qwen3.8 Flash?

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