Compare

GPT-5.2 vs Qwen3 Coder 480b A35b Instruct Fp8

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.

OpenAI

Model

GPT-5.2

Image inputTool calling

Best $1.75 in · $14.00 out

Context window 272K

Pricing
Alibaba

Model

Qwen3 Coder 480b A35b Instruct Fp8

Tool calling

Best $2.00 in · $2.00 out

Context window 256K

Pricing

GPT-5.2 is 12% cheaper on input. Qwen3 Coder 480b A35b Instruct Fp8 is 85% cheaper on output. The best choice depends on your input/output ratio.

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.

ProviderGPT-5.2 inGPT-5.2 outQwen3 Coder 480b A35b Instruct Fp8 inQwen3 Coder 480b A35b Instruct Fp8 out
Azure$1.75$14.00N/AN/A
Github CopilotN/AN/AN/AN/A
Gmi$1.75$14.00N/AN/A
OpenAI$1.75$14.00N/AN/A
Openrouter$1.75$14.00N/AN/A
Together AIN/AN/A$2.00$2.00

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 · OpenAI · 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.

OpenAI · 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
GPT-5.2
Qwen3 Coder 480b A35b Instruct Fp8
Context window
272,000 tokens
256,000 tokens
Max output tokens
128,000 tokens
N/A
Vision
Yes
No
Function calling
Yes
Yes
Streaming
No
No
Release date
Dec 2025
N/A

Cost calculator

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

GPT-5.2
Monthly
$2.6K
Annual
$31.9K
Qwen3 Coder 480b A35b Instruct Fp8
Monthly
$900
Annual
$10.9K
Save $1.7K/month with Qwen3 Coder 480b A35b Instruct Fp8

When to pick which

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

  • Long-context tasks

    Use GPT-5.2. Its 272K context window handles large codebases and documents better than 256K.

  • High-volume text generation

    Use Qwen3 Coder 480b A35b Instruct Fp8. Output tokens are 85% cheaper, which compounds significantly at scale.

Frequently asked questions

GPT-5.2 is cheaper on input tokens, while Qwen3 Coder 480b A35b Instruct Fp8 is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

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