Gemini 2.5 Pro vs Qwen3.6-27B

Gemini 2.5 Pro (2025) and Qwen3.6-27B (2026) compare a standalone API model against a coding-specialized model. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3.6-27B ships a 262k-token context window. On MMLU PRO, Gemini 2.5 Pro and Qwen3.6-27B are tied at 86.2. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; Qwen3.6-27B costs $0.32/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Gemini 2.5 Pro is standalone API model, while Qwen3.6-27B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first

Signal	Gemini 2.5 Pro	Qwen3.6-27B	How to read it
Product type	Standalone API model	Coding-specialized model	Read downstream rows through the product-type lens before comparing benchmarks, prices, or provider availability.
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	custom coding agents, code generation, and tool loops	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding, RAG, and Agents	Primary workload tags from local decision data.
Context window	1m	262k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$10/1M tokens	$3.20/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	4 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	5 shared	SWE-bench Verified leader	MMLU PRO is tied at 86.2; the first visible non-tie lead is 13.4 points on SWE-bench Verified.

Decision tradeoffs

Choose Gemini 2.5 Pro when...

Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
Gemini 2.5 Pro uniquely exposes Structured outputs and Code execution in local model data.
Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.

Choose Qwen3.6-27B when...

Qwen3.6-27B holds a shared-benchmark lead on SWE-bench Verified, ahead by 13.4 points.
Qwen3.6-27B has the lower cheapest tracked output price at $3.20/1M tokens.
Local decision data tags Qwen3.6-27B for Coding, RAG, and Agents.

Monthly cost at traffic

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

Lower estimate Qwen3.6-27B

Requests / monthInput tokens / requestOutput tokens / request

Gemini 2.5 Pro

$3,500

Cheapest tracked route/tier: Google AI Studio <=200K tokens

Qwen3.6-27B

$1,056

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $2,444. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Qwen3.6-27B

Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
Qwen3.6-27B is $6.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Structured outputs and Code execution before moving production traffic.

Qwen3.6-27B -> Gemini 2.5 Pro

Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
Gemini 2.5 Pro is $6.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Gemini 2.5 Pro adds Structured outputs and Code execution in local capability data.

Specs

Specification	Gemini 2.5 Pro Google DeepMind	Qwen3.6-27B Alibaba
Released	2025-06-17	2026-04-27
Context window	1m	262k
Parameters	—	27B
Architecture	Decoder Only	Decoder Only
License	Proprietary	Apache 2.0OSI-approved
Openness	Proprietary	Open source
Weights	Not released	Available
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: permitted
Knowledge cutoff	2025-01	-

Pricing and availability

Pricing attribute	Gemini 2.5 Pro	Qwen3.6-27B
Input price	<=200K tokens $1.25/1M tokens Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens. >200K tokens $2.50/1M tokens Higher Gemini 2.5 Pro tier for prompts above 200K tokens.	$0.32/1M tokens
Output price	<=200K tokens $10/1M tokens Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens. >200K tokens $15/1M tokens Higher Gemini 2.5 Pro tier for prompts above 200K tokens.	$3.20/1M tokens
Providers	Google AI Studio GCP Vertex AI OpenRouter Vercel AI Gateway	OpenRouter Alibaba Cloud PAI-EAS Vercel AI Gateway Novita AI

Capabilities

Capability	Gemini 2.5 Pro	Qwen3.6-27B
Vision	Yes	Yes
Multimodal	Yes	Yes
Reasoning	Yes	Yes
JSON / Tool use	Yes	Yes
Structured outputs	Yes	No
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	Gemini 2.5 Pro	Qwen3.6-27B
MMLU PRO	86.2	86.2
SWE-bench Verified	63.8	77.2
Google-Proof Q&A	86.4	87.8
LiveCodeBench	75.6	83.9
Humanity's Last Exam	18.8	24.0

Continue comparing

Model pages

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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.

Both models

Gemini 2.5 Pro Qwen3.6-27B