API cost decision in 10 seconds

🔥DeepSeek V3.2 vs Qwen3 8B

Pick Qwen3 8B when budget is the priority.

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

Budget verdict

Pick Qwen3 8B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).

Cost-first pickQwen3 8B
Context-first pickBoth models
Sample savings$0.1943.3%
10x traffic gap$1.91

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.91. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.2Qwen3 8B
Input-heavy / RAG5M input + 500K outputQwen3 8B$1.45$0.45
Balanced workload1M input + 1M outputQwen3 8B$0.63$0.45
Output-heavy chatbot1M input + 5M outputQwen3 8B$2.14$2.05
Cheaper input Qwen3 8B $0.252 vs $0.05 / 1M

Qwen3 8B is $0.2 cheaper per 1M input tokens (80.2% lower; 5.04x difference).

Cheaper output DeepSeek V3.2 $0.378 vs $0.4 / 1M

DeepSeek V3.2 is $0.02 cheaper per 1M output tokens (5.5% lower; 1.06x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Qwen3 8B $0.44 vs $0.25

Qwen3 8B is $0.19 cheaper on the standard workload (43.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Qwen3 8B 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 8B has the lower input price; DeepSeek V3.2 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3 8B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $0.25 for Qwen3 8B.

Best Fit

Choose DeepSeek V3.2 when you care most about lower output-token price.

Choose Qwen3 8B when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).
  • Qwen3 8B is $0.19 cheaper on the standard workload (43.3% lower).
  • Qwen3 8B is $0.2 cheaper per 1M input tokens (80.2% lower; 5.04x difference).
  • DeepSeek V3.2 is $0.02 cheaper per 1M output tokens (5.5% lower; 1.06x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
Qwen3 8B
(Qwen)
Input Price
prompt tokens per 1M
$0.252$0.05
Completion Price
per 1M tokens
$0.378$0.4
Sample Workload Cost
1M input + 500K output
$0.44$0.25
Context Window131.07K131.07K
Release Date
Popularity#8#102

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 8BOn the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).
High-volume input processingQwen3 8BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget

Cheaper alternatives

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

Open cheapest models

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

DeepSeek catalog

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

Open DeepSeek models

Qwen catalog

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

Open Qwen models
DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...