API cost decision in 10 seconds

GPT-5.3 Chat vs Qwen3.5-122B-A10B

Pick Qwen3.5-122B-A10B when budget and context both matter.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-122B-A10B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8.75 for GPT-5.3 Chat, saving $7.45 (85.1% lower).

Cost-first pickQwen3.5-122B-A10B
Context-first pickQwen3.5-122B-A10B
Sample savings$7.4585.1%
10x traffic gap$74.5

Qwen3.5-122B-A10B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $74.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-122B-A10B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.3 ChatQwen3.5-122B-A10B
Input-heavy / RAG5M input + 500K outputQwen3.5-122B-A10B$15.75$2.34
Balanced workload1M input + 1M outputQwen3.5-122B-A10B$15.75$2.34
Output-heavy chatbot1M input + 5M outputQwen3.5-122B-A10B$71.75$10.66
Cheaper input Qwen3.5-122B-A10B $1.75 vs $0.26 / 1M

Qwen3.5-122B-A10B is $1.49 cheaper per 1M input tokens (85.1% lower; 6.73x difference).

Cheaper output Qwen3.5-122B-A10B $14 vs $2.08 / 1M

Qwen3.5-122B-A10B is $11.92 cheaper per 1M output tokens (85.1% lower; 6.73x difference).

Larger context Qwen3.5-122B-A10B 128K vs 262.14K

Qwen3.5-122B-A10B has 134.14K more context (2.05x larger).

Sample workload Qwen3.5-122B-A10B $8.75 vs $1.3

Qwen3.5-122B-A10B is $7.45 cheaper on the standard workload (85.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.3 Chat Calculating… Estimated API cost
Qwen3.5-122B-A10B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3.5-122B-A10B has the lower input price; Qwen3.5-122B-A10B has the lower output price; Qwen3.5-122B-A10B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-122B-A10B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.3 Chat and $1.3 for Qwen3.5-122B-A10B.

Best Fit

Choose GPT-5.3 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3.5-122B-A10B when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8.75 for GPT-5.3 Chat, saving $7.45 (85.1% lower).
  • Qwen3.5-122B-A10B is $7.45 cheaper on the standard workload (85.1% lower).
  • Qwen3.5-122B-A10B is $1.49 cheaper per 1M input tokens (85.1% lower; 6.73x difference).
  • Qwen3.5-122B-A10B is $11.92 cheaper per 1M output tokens (85.1% lower; 6.73x difference).
  • Qwen3.5-122B-A10B has 134.14K more context (2.05x larger).
Head-to-Head Specs
FeatureGPT-5.3 Chat
(OpenAI)
Qwen3.5-122B-A10B
(Qwen)
Input Price
prompt tokens per 1M
$1.75$0.26
Completion Price
per 1M tokens
$14$2.08
Sample Workload Cost
1M input + 500K output
$8.75$1.3
Context Window128K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-122B-A10BOn the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8.75 for GPT-5.3 Chat, saving $7.45 (85.1% lower).
High-volume input processingQwen3.5-122B-A10BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5-122B-A10BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-122B-A10BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.13.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 sample workload cost.
Popular competitors
  • No popular competitor is currently available.

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OpenAI catalog

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Qwen catalog

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