LLM Reference

Gemini 2.5 Pro vs Qwen3.5-397B-A17B

Gemini 2.5 Pro (2025) and Qwen3.5-397B-A17B (2026) are frontier-tier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On MMLU PRO, Qwen3.5-397B-A17B leads by 1.6 pts. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; Qwen3.5-397B-A17B costs $0.39/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Qwen3.5-397B-A17B is safer overall; choose Gemini 2.5 Pro when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProQwen3.5-397B-A17B
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$2.34/1M tokens
Provider routes4 tracked4 tracked
Shared benchmarks7 sharedMMLU PRO leader

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 Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Qwen3.5-397B-A17B when...
  • Qwen3.5-397B-A17B holds a shared-benchmark lead on MMLU PRO, ahead by 1.6 points.
  • Qwen3.5-397B-A17B has the lower cheapest tracked output price at $2.34/1M tokens.
  • Local decision data tags Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B

Gemini 2.5 Pro

$3,500

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

Qwen3.5-397B-A17B

$897

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $2,603. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Qwen3.5-397B-A17B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.5-397B-A17B is $7.66/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
Qwen3.5-397B-A17B -> Gemini 2.5 Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemini 2.5 Pro is $7.66/1M 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
Released2025-06-172026-02-16
Context window1m262k
Parameters397B
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 ProQwen3.5-397B-A17B
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.
$0.39/1M 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.
$2.34/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 ProQwen3.5-397B-A17B
VisionYesYes
MultimodalYesYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProQwen3.5-397B-A17B
MMLU PRO86.287.8
SWE-bench Verified63.876.2
Google-Proof Q&A86.489.3
LiveCodeBench75.683.6
Massive Multi-discipline Multimodal Understanding81.785.0
Humanity's Last Exam18.828.7
Terminal-Bench 2.032.652.5

Continue comparing

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