Can I run Llama 3 70B Instruct or Qwen-Turbo cheaper on another provider?

Some models are available on inference providers like Together AI, Groq, and Fireworks AI at lower prices. Check each model's pricing page for the full provider comparison.

What is the context window difference between Llama 3 70B Instruct and Qwen-Turbo?

Qwen-Turbo has a larger context window at 129K tokens vs 8K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 3 70B Instruct vs Qwen-Turbo

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

MetaLlama 3

Model

Llama 3 70B Instruct

Best $0.510 in · $0.740 out

Context window 8K

Pricing

AlibabaQwen

Model

Qwen-Turbo

Tool calling

Best $0.033 in · $0.130 out

Context window 129K

Pricing

Qwen-Turbo is cheaper across the board — 93% cheaper on input and 82% cheaper on output.

Estimate cost

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

Provider	Llama 3 70B Instruct in	Llama 3 70B Instruct out	Qwen-Turbo in	Qwen-Turbo out
Alibaba Cloud	N/A	N/A	$0.050	$0.200
Novita	$0.510	$0.740	N/A	N/A
Openrouter	$0.590	$0.790	$0.033	$0.130
Replicate	$0.650	$2.75	N/A	N/A
Vercel Ai Gateway	$0.590	$0.790	N/A	N/A

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Meta · Alibaba

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Meta · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Alibaba · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec

Llama 3 70B Instruct

Qwen-Turbo

Context window: 8,192 tokens; 129,024 tokens
Max output tokens: 8,000 tokens; 16,384 tokens
Vision: No; No
Function calling: No; Yes
Streaming: No; No
Release date: Apr 2024; Feb 2025

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Llama 3 70B Instruct

Qwen-Turbo

Requests / day

Input tokens

Output tokens

Llama 3 70B Instruct

Monthly

$296

Annual

$3.6K

Qwen-Turbo

Monthly

$45

Annual

$548

Save $251/month with Qwen-Turbo

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

Long-context tasks
Use Qwen-Turbo. Its 129K context window handles large codebases and documents better than 8K.
High-volume text generation
Use Qwen-Turbo. Output tokens are 82% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Qwen-Turbo. Its 16K max output limit reduces the need to split requests.

Frequently asked questions

Qwen-Turbo is cheaper on both input and output tokens.

More comparisons

Other popular head-to-head matchups.