API cost decision in 10 seconds

Qwen3.5-27B vs MiniMax M2

Pick MiniMax M2 for lower cost; pick Qwen3.5-27B only if the larger context window matters more.

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

Budget verdict

Pick MiniMax M2 for lower cost; pick Qwen3.5-27B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $0.98 for Qwen3.5-27B, saving $0.22 (22.6% lower).

Cost-first pickMiniMax M2
Context-first pickQwen3.5-27B
Sample savings$0.2222.6%
10x traffic gap$2.2

Qwen3.5-27B has more context, but MiniMax M2 saves $0.22 on the standard workload. At 10x that traffic, the same price gap is about $2.2. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5-27B, balanced workload favors MiniMax M2, and output-heavy chatbot favors MiniMax M2.

Workload shapeToken mixBetter pickQwen3.5-27BMiniMax M2
Input-heavy / RAG 5M input + 500K output Qwen3.5-27B $1.76 $1.77
Balanced workload 1M input + 1M output MiniMax M2 $1.76 $1.25
Output-heavy chatbot 1M input + 5M output MiniMax M2 $8 $5.25
Cheaper inputQwen3.5-27B$0.2 vs $0.26 / 1M
Cheaper outputMiniMax M2$1.56 vs $1 / 1M
Larger contextQwen3.5-27B262.14K vs 204.8K
Sample workloadMiniMax M2$0.98 vs $0.76

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-27BCalculating…Estimated API cost
MiniMax M2Calculating…Estimated API cost
Cheaper for this workloadCalculating…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

Qwen3.5-27B has the lower input price, MiniMax M2 has the lower output price, and Qwen3.5-27B offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.98 for Qwen3.5-27B and $0.76 for MiniMax M2.

Best Fit

Choose Qwen3.5-27B when you care most about lower input-token price, and larger context window.

Choose MiniMax M2 when you care most about lower output-token price.

Head-to-Head Specs
FeatureQwen3.5-27B
(Qwen)		MiniMax M2
(MiniMax)
Input Price
prompt tokens per 1M		$0.2$0.26
Completion Price
per 1M tokens		$1.56$1
Sample Workload Cost
1M input + 500K output		$0.98$0.76
Context Window262.14K204.8K
Release Date2026-02-252025-10-23
Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiniMax M2On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $0.98 for Qwen3.5-27B, saving $0.22 (22.6% lower).
High-volume input processingQwen3.5-27BLower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsMiniMax M2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-27BA larger context window leaves more room for retrieved passages and source files.