Gemini 2.5 Pro vs Qwen3-235B-A22B

Gemini 2.5 Pro (2025) and Qwen3-235B-A22B (2025) are frontier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3-235B-A22B ships a 128k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 3.4 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and Qwen3-235B-A22B for tighter calls.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProQwen3-235B-A22B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsprovider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Long context
Context window1m128k
Cheapest output$10/1M tokens$0.58/1M tokens
Provider routes4 tracked5 tracked
Shared benchmarksMMLU PRO leader6 shared

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 3.4 points.
  • Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Qwen3-235B-A22B when...
  • Qwen3-235B-A22B holds a shared-benchmark lead on LiveCodeBench, ahead by 4.8 points.
  • Qwen3-235B-A22B has the lower cheapest tracked output price at $0.58/1M tokens.
  • Qwen3-235B-A22B has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags Qwen3-235B-A22B for Coding, RAG, and Long context.

Monthly cost at traffic

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

Lower estimate Qwen3-235B-A22B

Gemini 2.5 Pro

$3,500

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

Qwen3-235B-A22B

$217

Cheapest tracked route/tier: Novita AI

Estimated monthly gap: $3,283. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Qwen3-235B-A22B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3-235B-A22B is $9.42/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Qwen3-235B-A22B -> Gemini 2.5 Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemini 2.5 Pro is $9.42/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2025-06-172025-04-29
Context window1m128k
Parameters—235B
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemini 2.5 ProQwen3-235B-A22B
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.
$0.09/1M 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.
$0.58/1M tokens
Providers
Google AI StudioGCP Vertex AIOpenRouterVercel AI Gateway
Fireworks AIAWS BedrockOpenRouterVenice AINovita AI

Capabilities

CapabilityGemini 2.5 ProQwen3-235B-A22B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
JSON / Tool useYesNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProQwen3-235B-A22B
MMLU PRO86.282.8
Google-Proof Q&A86.486.1
LiveCodeBench75.680.4
AIME 202492.085.7
HumanEval93.192.7
Aider Polyglot83.159.6

Continue comparing

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