Can I run Meta Llama3 2 1b Instruct V1 0 or Qwen2.5 Coder 32B Instruct 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 Meta Llama3 2 1b Instruct V1 0 and Qwen2.5 Coder 32B Instruct?

Meta Llama3 2 1b Instruct V1 0 has a larger context window at 128K tokens vs 33K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Meta Llama3 2 1b Instruct V1 0 vs Qwen2.5 Coder 32B Instruct

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.

Meta Llama3 2 1b Instruct V1 0

Tool calling

Best $0.130 in · $0.130 out

Context window 128K

Pricing

AlibabaQwen

Model

Qwen2.5 Coder 32B Instruct

Best $0.180 in · $0.180 out

Context window 34K

Pricing

Meta Llama3 2 1b Instruct V1 0 is cheaper across the board — 27% cheaper on input and 27% 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	Meta Llama3 2 1b Instruct V1 0 in	Meta Llama3 2 1b Instruct V1 0 out	Qwen2.5 Coder 32B Instruct in	Qwen2.5 Coder 32B Instruct out
Aws Bedrock	$0.130	$0.130	N/A	N/A
Openrouter	N/A	N/A	$0.180	$0.180

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

Meta Llama3 2 1b Instruct V1 0

Qwen2.5 Coder 32B Instruct

Context window: 128,000 tokens; 33,792 tokens
Max output tokens: 4,096 tokens; 33,792 tokens
Vision: No; No
Function calling: Yes; No
Streaming: No; No
Release date: N/A; Nov 2024

Cost calculator

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

Meta Llama3 2 1b Instruct V1 0

Qwen2.5 Coder 32B Instruct

Requests / day

Input tokens

Output tokens

Meta Llama3 2 1b Instruct V1 0

Monthly

$59

Annual

$712

Qwen2.5 Coder 32B Instruct

Monthly

$81

Annual

$986

Save $23/month with Meta Llama3 2 1b Instruct V1 0

When to pick which

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

Long-context tasks
Use Meta Llama3 2 1b Instruct V1 0. Its 128K context window handles large codebases and documents better than 33K.
High-volume text generation
Use Meta Llama3 2 1b Instruct V1 0. Output tokens are 27% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Qwen2.5 Coder 32B Instruct. Its 33K max output limit reduces the need to split requests.

Frequently asked questions

Meta Llama3 2 1b Instruct V1 0 is cheaper on both input and output tokens.

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