Compare

Llama 3 70B Instruct vs Qwen2p5 7b

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

Model

Llama 3 70B Instruct

Best $0.510 in · $0.740 out

Context window 8K

Pricing
Alibaba

Model

Qwen2p5 7b

Best $0.200 in · $0.200 out

Context window 33K

Pricing

Qwen2p5 7b is cheaper across the board — 60% cheaper on input and 72% cheaper on output.

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.

ProviderLlama 3 70B Instruct inLlama 3 70B Instruct outQwen2p5 7b inQwen2p5 7b out
Fireworks AIN/AN/A$0.200$0.200
Novita$0.510$0.740N/AN/A
Openrouter$0.590$0.790N/AN/A
Replicate$0.650$2.75N/AN/A
Vercel Ai Gateway$0.590$0.790N/AN/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
Qwen2p5 7b
Context window
8,192 tokens
32,768 tokens
Max output tokens
8,000 tokens
32,768 tokens
Vision
No
No
Function calling
No
No
Streaming
No
No
Release date
Apr 2024
N/A

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
Monthly
$296
Annual
$3.6K
Qwen2p5 7b
Monthly
$90
Annual
$1.1K
Save $206/month with Qwen2p5 7b

When to pick which

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

  • Long-context tasks

    Use Qwen2p5 7b. Its 32K context window handles large codebases and documents better than 8K.

  • High-volume text generation

    Use Qwen2p5 7b. Output tokens are 72% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Qwen2p5 7b. Its 32K max output limit reduces the need to split requests.

Frequently asked questions

Qwen2p5 7b is cheaper on both input and output tokens.

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