LLM Reference

Qwen3.5-27B vs MiniMax-M2.5

Qwen3.5-27B (2026) and MiniMax-M2.5 (2024) are frontier reasoning models from Alibaba and MiniMax. Qwen3.5-27B ships a 262K-token context window, while MiniMax-M2.5 ships a not-yet-sourced context window. On pricing, Qwen3.5-27B costs $0.20/1M input tokens versus $0.30/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Qwen3.5-27B is ~54% cheaper at $0.20/1M; pay for MiniMax-M2.5 only for provider fit.

Decision scorecard

Local evidence first
SignalQwen3.5-27BMiniMax-M2.5
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsgeneral production evaluation
Decision fitRAG, Agents, and Long contextGeneral
Context window262K
Cheapest output$1.56/1M tokens$1.20/1M tokens
Provider routes4 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Qwen3.5-27B when...
  • Qwen3.5-27B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.5-27B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3.5-27B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Qwen3.5-27B for RAG, Agents, and Long context.
Choose MiniMax-M2.5 when...
  • MiniMax-M2.5 has the lower cheapest tracked output price at $1.20/1M tokens.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate MiniMax-M2.5

Qwen3.5-27B

$546

Cheapest tracked route/tier: OpenRouter

MiniMax-M2.5

$540

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $6.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Qwen3.5-27B -> MiniMax-M2.5
  • No overlapping tracked provider route is sourced for Qwen3.5-27B and MiniMax-M2.5; plan for SDK, billing, or endpoint changes.
  • MiniMax-M2.5 is $0.36/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
MiniMax-M2.5 -> Qwen3.5-27B
  • No overlapping tracked provider route is sourced for MiniMax-M2.5 and Qwen3.5-27B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-27B is $0.36/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Qwen3.5-27B adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-02-242024-09-01
Context window262K
Parameters27B230B (10B active)
Architecturedecoder onlydiffusion
LicenseApache 2.0Proprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeQwen3.5-27BMiniMax-M2.5
Input price$0.20/1M tokens$0.30/1M tokens
Output price$1.56/1M tokens$1.20/1M tokens
Providers

Capabilities

CapabilityQwen3.5-27BMiniMax-M2.5
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Qwen3.5-27B, multimodal input: Qwen3.5-27B, reasoning mode: Qwen3.5-27B, function calling: Qwen3.5-27B, tool use: Qwen3.5-27B, and structured outputs: Qwen3.5-27B. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Qwen3.5-27B lists $0.20/1M input and $1.56/1M output tokens on the cheapest tracked provider, while MiniMax-M2.5 lists $0.30/1M input and $1.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts MiniMax-M2.5 lower by about $0.03 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.

Choose Qwen3.5-27B when reasoning depth, lower input-token cost, and broader provider choice are central to the workload. Choose MiniMax-M2.5 when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which is cheaper, Qwen3.5-27B or MiniMax-M2.5?

Qwen3.5-27B is cheaper on tracked token pricing. Qwen3.5-27B costs $0.20/1M input and $1.56/1M output tokens. MiniMax-M2.5 costs $0.30/1M input and $1.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Qwen3.5-27B or MiniMax-M2.5 open source?

Qwen3.5-27B is listed under Apache 2.0. MiniMax-M2.5 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Qwen3.5-27B or MiniMax-M2.5?

Qwen3.5-27B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Qwen3.5-27B or MiniMax-M2.5?

Qwen3.5-27B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Qwen3.5-27B or MiniMax-M2.5?

Qwen3.5-27B has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Qwen3.5-27B and MiniMax-M2.5?

Qwen3.5-27B is available on DeepInfra, OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI. MiniMax-M2.5 is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.