LLM Reference

Granite 3.3 8B Instruct vs Qwen3.5-9B

Granite 3.3 8B Instruct (2025) and Qwen3.5-9B (2026) are compact production models from IBM Research and Alibaba. Granite 3.3 8B Instruct ships a 128K-token context window, while Qwen3.5-9B ships a 262K-token context window. On pricing, Granite 3.3 8B Instruct costs $0.03/1M input tokens versus $0.1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Granite 3.3 8B Instruct is ~233% cheaper at $0.03/1M; pay for Qwen3.5-9B only for long-context analysis.

Decision scorecard

Local evidence first
SignalGranite 3.3 8B InstructQwen3.5-9B
Decision fitRAG, Agents, and Long contextRAG, Agents, and Long context
Context window128K262K
Cheapest output$0.25/1M tokens$0.15/1M tokens
Provider routes2 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Granite 3.3 8B Instruct when...
  • Local decision data tags Granite 3.3 8B Instruct for RAG, Agents, and Long context.
Choose Qwen3.5-9B when...
  • Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
  • Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3.5-9B uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Qwen3.5-9B for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Granite 3.3 8B Instruct

Granite 3.3 8B Instruct

$86.50

Cheapest tracked route: Replicate API

Qwen3.5-9B

$118

Cheapest tracked route: Together AI

Estimated monthly gap: $31.00. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Granite 3.3 8B Instruct -> Qwen3.5-9B
  • No overlapping tracked provider route is sourced for Granite 3.3 8B Instruct and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
  • Qwen3.5-9B is $0.1/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Qwen3.5-9B adds Vision, Multimodal, and Structured outputs in local capability data.
Qwen3.5-9B -> Granite 3.3 8B Instruct
  • No overlapping tracked provider route is sourced for Qwen3.5-9B and Granite 3.3 8B Instruct; plan for SDK, billing, or endpoint changes.
  • Granite 3.3 8B Instruct is $0.1/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.

Specs

Specification
Released2025-03-012026-03-02
Context window128K262K
Parameters8B9B
Architecturedecoder onlydecoder only
LicenseApache 2.0Apache 2.0
Knowledge cutoff2024-04-

Pricing and availability

Pricing attributeGranite 3.3 8B InstructQwen3.5-9B
Input price$0.03/1M tokens$0.1/1M tokens
Output price$0.25/1M tokens$0.15/1M tokens
Providers

Capabilities

CapabilityGranite 3.3 8B InstructQwen3.5-9B
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingYesYes
Tool useYesYes
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Qwen3.5-9B, multimodal input: Qwen3.5-9B, and structured outputs: Qwen3.5-9B. Both models share function calling and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Granite 3.3 8B Instruct lists $0.03/1M input and $0.25/1M output tokens, while Qwen3.5-9B lists $0.1/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Granite 3.3 8B Instruct lower by about $0.02 per million blended tokens. Availability is 2 providers versus 3, so concentration risk also matters.

Choose Granite 3.3 8B Instruct when provider fit and lower input-token cost are central to the workload. Choose Qwen3.5-9B when long-context analysis, larger context windows, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Granite 3.3 8B Instruct or Qwen3.5-9B?

Qwen3.5-9B supports 262K tokens, while Granite 3.3 8B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Granite 3.3 8B Instruct or Qwen3.5-9B?

Granite 3.3 8B Instruct is cheaper on tracked token pricing. Granite 3.3 8B Instruct costs $0.03/1M input and $0.25/1M output tokens. Qwen3.5-9B costs $0.1/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Granite 3.3 8B Instruct or Qwen3.5-9B open source?

Granite 3.3 8B Instruct is listed under Apache 2.0. Qwen3.5-9B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Granite 3.3 8B Instruct or Qwen3.5-9B?

Qwen3.5-9B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Granite 3.3 8B Instruct or Qwen3.5-9B?

Qwen3.5-9B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Granite 3.3 8B Instruct and Qwen3.5-9B?

Granite 3.3 8B Instruct is available on NVIDIA NIM and Replicate API. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.