LLM Reference

Gemini 2.5 Pro vs Qwen3.5-35B-A3B

Gemini 2.5 Pro (2025) and Qwen3.5-35B-A3B (2026) are frontier-tier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3.5-35B-A3B ships a 262k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 0.9 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Qwen3.5-35B-A3B is safer overall; choose Gemini 2.5 Pro when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProQwen3.5-35B-A3B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps, tool-calling agents, and provider-routed production
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 leader5 shared

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 0.9 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 Vision, Multimodal, and Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Qwen3.5-35B-A3B when...
  • Qwen3.5-35B-A3B holds a shared-benchmark lead on SWE-bench Verified, ahead by 5.4 points.
  • Qwen3.5-35B-A3B has the lower cheapest tracked output price at $1/1M tokens.
  • Local decision data tags Qwen3.5-35B-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 Qwen3.5-35B-A3B

Gemini 2.5 Pro

$3,500

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

Qwen3.5-35B-A3B

$361

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $3,139. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Qwen3.5-35B-A3B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.5-35B-A3B is $9/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
Qwen3.5-35B-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 Vision, Multimodal, and Code execution in local capability data.

Specs

Specification
Released2025-06-172026-02-24
Context window1m262k
Parameters—35B
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 ProQwen3.5-35B-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.
$0.14/1M 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
Google AI StudioGCP Vertex AIOpenRouterVercel AI Gateway
OpenRouterNovita AI

Capabilities

CapabilityGemini 2.5 ProQwen3.5-35B-A3B
VisionYesNo
MultimodalYesNo
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProQwen3.5-35B-A3B
MMLU PRO86.285.3
SWE-bench Verified63.869.2
Google-Proof Q&A86.484.5
LiveCodeBench75.674.6
Humanity's Last Exam18.822.4

Continue comparing

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