Can I run Deepseek R1 7b Qwen or Llama 3.1 70B 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 Deepseek R1 7b Qwen and Llama 3.1 70B?

Deepseek R1 7b Qwen has a larger context window at 131K tokens vs 128K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Deepseek R1 7b Qwen vs Llama 3.1 70B

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.

AlibabaDeepSeek R1

Model

Deepseek R1 7b Qwen

Tool calling

Best $0.080 in · $0.150 out

Context window 131K

Pricing

MetaLlama 3.1

Model

Llama 3.1 70B

Tool calling

Best $0.400 in · $0.400 out

Context window 128K

Pricing

Deepseek R1 7b Qwen is cheaper across the board — 80% cheaper on input and 62% 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	Deepseek R1 7b Qwen in	Deepseek R1 7b Qwen out	Llama 3.1 70B in	Llama 3.1 70B out
DeepInfra	N/A	N/A	$0.520	$0.750
Fireworks AI	N/A	N/A	$0.900	$0.900
Groq	N/A	N/A	$0.590	$0.790
Llamagate	$0.080	$0.150	N/A	N/A
Openrouter	N/A	N/A	$0.400	$0.400
Perplexity	N/A	N/A	$1.00	$1.00
Together AI	N/A	N/A	$0.880	$0.880
Vercel Ai Gateway	N/A	N/A	$0.720	$0.720

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 · Alibaba · Meta

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.

Alibaba · 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).

Meta · 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

Deepseek R1 7b Qwen

Llama 3.1 70B

Context window: 131,072 tokens; 128,000 tokens
Max output tokens: 16,384 tokens; 4,096 tokens
Vision: No; No
Function calling: Yes; Yes
Streaming: No; Yes
Release date: N/A; Jul 2024

Cost calculator

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

Deepseek R1 7b Qwen

Llama 3.1 70B

Requests / day

Input tokens

Output tokens

Deepseek R1 7b Qwen

Monthly

$47

Annual

$566

Llama 3.1 70B

Monthly

$324

Annual

$3.9K

Save $278/month with Deepseek R1 7b Qwen

When to pick which

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

Long-context tasks
Use Deepseek R1 7b Qwen. Its 131K context window handles large codebases and documents better than 128K.
High-volume text generation
Use Deepseek R1 7b Qwen. Output tokens are 62% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Deepseek R1 7b Qwen. Its 16K max output limit reduces the need to split requests.

Frequently asked questions

Deepseek R1 7b Qwen is cheaper on both input and output tokens.

More comparisons

Other popular head-to-head matchups.