LLM Reference

Composer 2 vs Gemini 3.5 Flash

Composer 2 (2026) and Gemini 3.5 Flash (2026) compare a product-bundled coding agent built on Kimi K2.5 against a standalone API model. Composer 2 ships a 200k-token context window, while Gemini 3.5 Flash ships a 1.05m-token context window. On Terminal-Bench 2.0, Gemini 3.5 Flash leads by 14.5 pts. On pricing, Composer 2 costs $0.50/1M input tokens versus $1.50/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.

Use Composer 2 when you want the packaged product-bundled coding agent built on Kimi K2.5 workflow; use Gemini 3.5 Flash when you need a model you can route, wrap, or run outside that product surface.

Decision scorecard

Local evidence first
SignalComposer 2Gemini 3.5 Flash
Product typeProduct-bundled coding agent built on Kimi K2.5Standalone API model
Best forPackaged coding-agent workflows and vendor-managed tool runsAPI builders, multimodal apps, and non-IDE automation
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window200k1.05m
Cheapest output$2.50/1M tokens$9/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks2 sharedTerminal-Bench 2.0 leader

Decision tradeoffs

Choose Composer 2 when...
  • Composer 2 holds a shared-benchmark lead on CursorBench, ahead by 3.4 points.
  • Composer 2 has the lower cheapest tracked output price at $2.50/1M tokens.
  • Local decision data tags Composer 2 for Coding, RAG, and Agents.
Choose Gemini 3.5 Flash when...
  • Gemini 3.5 Flash holds a shared-benchmark lead on Terminal-Bench 2.0, ahead by 14.5 points.
  • Gemini 3.5 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 3.5 Flash has broader tracked provider coverage for fallback and route flexibility.
  • Gemini 3.5 Flash uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Gemini 3.5 Flash 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 Composer 2

Composer 2

$1,025

Cheapest tracked route/tier: Cursor

Gemini 3.5 Flash

$3,450

Cheapest tracked route/tier: Google AI Studio

Estimated monthly gap: $2,425. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Composer 2 -> Gemini 3.5 Flash
  • No overlapping tracked provider route is sourced for Composer 2 and Gemini 3.5 Flash; plan for SDK, billing, or endpoint changes.
  • Gemini 3.5 Flash is $6.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 3.5 Flash adds Vision, Multimodal, and Reasoning in local capability data.
Gemini 3.5 Flash -> Composer 2
  • No overlapping tracked provider route is sourced for Gemini 3.5 Flash and Composer 2; plan for SDK, billing, or endpoint changes.
  • Composer 2 is $6.50/1M 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.

Specs

Specification
Released2026-03-192026-05-19
Context window200k1.05m
Parameters
Architecture-Decoder Only
LicenseProprietaryProprietary
OpennessProprietaryProprietary
WeightsNot releasedNot released
CodeUnknownUnknown
Commercial use-Commercial use: conditional
Knowledge cutoff-2025-01

Pricing and availability

Pricing attributeComposer 2Gemini 3.5 Flash
Input price$0.50/1M tokens$1.50/1M tokens
Output price$2.50/1M tokens$9/1M tokens
Providers

Capabilities

CapabilityComposer 2Gemini 3.5 Flash
VisionNoYes
MultimodalNoYes
ReasoningNoYes
JSON / Tool useYesYes
Structured outputsNoYes
Code executionYesYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkComposer 2Gemini 3.5 Flash
Terminal-Bench 2.061.776.2
CursorBench52.248.8

Harness caveat. Composer 2 is measured as product-bundled coding agent built on Kimi K2.5, while Gemini 3.5 Flash is standalone API model. Treat shared benchmark scores as directional because IDE or product scaffolding, tool access, prompt routing, and interaction mode can change real application results.

Continue comparing

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