LLM Reference

Gemini 2.5 Pro vs Qwen3.5-122B-A10B

Gemini 2.5 Pro (2025) and Qwen3.5-122B-A10B (2026) are frontier-tier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On MMLU PRO, Qwen3.5-122B-A10B leads by 0.5 pts. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; Qwen3.5-122B-A10B costs $0.26/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Qwen3.5-122B-A10B is safer overall; choose Gemini 2.5 Pro when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProQwen3.5-122B-A10B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m262k
Cheapest output$10/1M tokens$2.08/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarks5 sharedMMLU PRO leader

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro holds a shared-benchmark lead on Google-Proof Q&A, ahead by 0.7 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 Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Qwen3.5-122B-A10B when...
  • Qwen3.5-122B-A10B holds a shared-benchmark lead on MMLU PRO, ahead by 0.5 points.
  • Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
  • Local decision data tags Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B

Gemini 2.5 Pro

$3,500

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

Qwen3.5-122B-A10B

$728

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $2,772. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Qwen3.5-122B-A10B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.5-122B-A10B is $7.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
Qwen3.5-122B-A10B -> Gemini 2.5 Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemini 2.5 Pro is $7.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro adds Code execution in local capability data.

Specs

Specification
Released2025-06-172026-02-24
Context window1m262k
Parameters—122B
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 ProQwen3.5-122B-A10B
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.
$0.26/1M 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.
$2.08/1M tokens
Providers
Google AI StudioGCP Vertex AIOpenRouterVercel AI Gateway
OpenRouterAlibaba Cloud PAI-EASNovita AI

Capabilities

CapabilityGemini 2.5 ProQwen3.5-122B-A10B
VisionYesYes
MultimodalYesYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProQwen3.5-122B-A10B
MMLU PRO86.286.7
SWE-bench Verified63.872.0
Google-Proof Q&A86.485.7
LiveCodeBench75.678.9
Humanity's Last Exam18.825.3

Continue comparing

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