LLM Cost

Compare

Mistral Small 3 2 24b Instruct 2506 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.

Mistral AI

Model

Mistral Small 3 2 24b Instruct 2506

Tool calling

Best $0.075 in · $0.200 out

Context window 128K

Pricing
Alibaba

Model

Qwen2.5 Coder 32B Instruct

Best $0.180 in · $0.180 out

Context window 34K

Pricing

Mistral Small 3 2 24b Instruct 2506 is 58% cheaper on input. Qwen2.5 Coder 32B Instruct is 10% cheaper on output. The best choice depends on your input/output ratio.

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.

ProviderMistral Small 3 2 24b Instruct 2506 inMistral Small 3 2 24b Instruct 2506 outQwen2.5 Coder 32B Instruct inQwen2.5 Coder 32B Instruct out
DeepInfra$0.075$0.200N/AN/A
OpenrouterN/AN/A$0.180$0.180
Ovhcloud$0.090$0.280N/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 · Mistral AI · 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.

Mistral AI · 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
Mistral Small 3 2 24b Instruct 2506
Qwen2.5 Coder 32B Instruct
Context window
128,000 tokens
33,792 tokens
Max output tokens
128,000 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.

Mistral Small 3 2 24b Instruct 2506
Monthly
$69
Annual
$839
Qwen2.5 Coder 32B Instruct
Monthly
$81
Annual
$986
Save $12/month with Mistral Small 3 2 24b Instruct 2506

When to pick which

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

  • Long-context tasks

    Use Mistral Small 3 2 24b Instruct 2506. Its 128K context window handles large codebases and documents better than 33K.

  • High-volume text generation

    Use Qwen2.5 Coder 32B Instruct. Output tokens are 10% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Mistral Small 3 2 24b Instruct 2506. Its 128K max output limit reduces the need to split requests.

Frequently asked questions

Mistral Small 3 2 24b Instruct 2506 is cheaper on input tokens, while Qwen2.5 Coder 32B Instruct is cheaper on output. The best choice depends on your input/output ratio.

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