API cost decision in 10 seconds

Qwen3.5-35B-A3B vs o3 Mini

Pick Qwen3.5-35B-A3B when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-35B-A3B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $3.3 for o3 Mini, saving $2.66 (80.6% lower).

Cost-first pickQwen3.5-35B-A3B
Context-first pickQwen3.5-35B-A3B
Sample savings$2.6680.6%
10x traffic gap$26.61

Qwen3.5-35B-A3B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $26.61. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-35B-A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5-35B-A3Bo3 Mini
Input-heavy / RAG5M input + 500K outputQwen3.5-35B-A3B$1.2$7.7
Balanced workload1M input + 1M outputQwen3.5-35B-A3B$1.14$5.5
Output-heavy chatbot1M input + 5M outputQwen3.5-35B-A3B$5.14$23.1
Cheaper input Qwen3.5-35B-A3B $0.139 vs $1.1 / 1M

Qwen3.5-35B-A3B is $0.96 cheaper per 1M input tokens (87.4% lower; 7.91x difference).

Cheaper output Qwen3.5-35B-A3B $1 vs $4.4 / 1M

Qwen3.5-35B-A3B is $3.4 cheaper per 1M output tokens (77.3% lower; 4.4x difference).

Larger context Qwen3.5-35B-A3B 262.14K vs 200K

Qwen3.5-35B-A3B has 62.14K more context (1.31x larger).

Sample workload Qwen3.5-35B-A3B $0.64 vs $3.3

Qwen3.5-35B-A3B is $2.66 cheaper on the standard workload (80.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-35B-A3B Calculating… Estimated API cost
o3 Mini 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

Qwen3.5-35B-A3B has the lower input price; Qwen3.5-35B-A3B has the lower output price; Qwen3.5-35B-A3B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-35B-A3B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3.5-35B-A3B and $3.3 for o3 Mini.

Best Fit

Choose Qwen3.5-35B-A3B when you care most about lower input-token price, lower output-token price, and larger context window.

Choose o3 Mini when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $3.3 for o3 Mini, saving $2.66 (80.6% lower).
  • Qwen3.5-35B-A3B is $2.66 cheaper on the standard workload (80.6% lower).
  • Qwen3.5-35B-A3B is $0.96 cheaper per 1M input tokens (87.4% lower; 7.91x difference).
  • Qwen3.5-35B-A3B is $3.4 cheaper per 1M output tokens (77.3% lower; 4.4x difference).
  • Qwen3.5-35B-A3B has 62.14K more context (1.31x larger).
Head-to-Head Specs
FeatureQwen3.5-35B-A3B
(Qwen)
o3 Mini
(OpenAI)
Input Price
prompt tokens per 1M
$0.139$1.1
Completion Price
per 1M tokens
$1$4.4
Sample Workload Cost
1M input + 500K output
$0.64$3.3
Context Window262.14K200K
Release Date
Popularity#65#120

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-35B-A3BOn the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $3.3 for o3 Mini, saving $2.66 (80.6% lower).
High-volume input processingQwen3.5-35B-A3BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.5-35B-A3BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-35B-A3BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

Open OpenAI models
Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...