LLM Reference

Gemini 2.5 Pro vs Qwen3.6-35B-A3B

Gemini 2.5 Pro (2025) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3.6-35B-A3B ships a 262k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 1 pts. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; Qwen3.6-35B-A3B costs $0.15/1M 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 Qwen3.6-35B-A3B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProQwen3.6-35B-A3B
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m262k
Cheapest output$10/1M tokens$1/1M tokens
Provider routes4 tracked2 tracked
Shared benchmarksMMLU PRO leader4 shared

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 1 points.
  • Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Pro has broader tracked provider coverage for fallback and route flexibility.
  • Gemini 2.5 Pro uniquely exposes Reasoning, Structured outputs, and Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Qwen3.6-35B-A3B when...
  • Qwen3.6-35B-A3B holds a shared-benchmark lead on SWE-bench Verified, ahead by 9.6 points.
  • Qwen3.6-35B-A3B has the lower cheapest tracked output price at $1/1M tokens.
  • Local decision data tags Qwen3.6-35B-A3B 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 Qwen3.6-35B-A3B

Gemini 2.5 Pro

$3,500

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

Qwen3.6-35B-A3B

$370

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $3,130. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Qwen3.6-35B-A3B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.6-35B-A3B is $9/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, Structured outputs, and Code execution before moving production traffic.
Qwen3.6-35B-A3B -> Gemini 2.5 Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemini 2.5 Pro is $9/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro adds Reasoning, Structured outputs, and Code execution in local capability data.

Specs

Specification
Released2025-06-172026-04-16
Context window1m262k
Parameters35B
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemini 2.5 ProQwen3.6-35B-A3B
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.
$0.15/1M 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.
$1/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 ProQwen3.6-35B-A3B
VisionYesYes
MultimodalYesYes
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProQwen3.6-35B-A3B
MMLU PRO86.285.2
SWE-bench Verified63.873.4
Google-Proof Q&A86.486.0
LiveCodeBench75.680.4

Continue comparing

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