LLM Reference

GPT-2 Medium vs Granite 3.3 8B Instruct

GPT-2 Medium (2019) and Granite 3.3 8B Instruct (2025) are compact production models from OpenAI and IBM Research. GPT-2 Medium ships a 1k-token context window, while Granite 3.3 8B Instruct ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Granite 3.3 8B Instruct fits 128x more tokens; pick it for long-context work and GPT-2 Medium for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-2 MediumGranite 3.3 8B Instruct
Best forgeneral production evaluationtool-calling agents and provider-routed production
Decision fitGeneralRAG, Agents, and Long context
Context window1k128k
Cheapest output-$0.25/1M tokens
Provider routes1 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-2 Medium when...
  • Use GPT-2 Medium when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Choose Granite 3.3 8B Instruct when...
  • Granite 3.3 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Granite 3.3 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
  • Granite 3.3 8B Instruct uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags Granite 3.3 8B Instruct for RAG, Agents, and Long context.

Monthly cost at traffic

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

GPT-2 Medium

Unavailable

No complete token price in local provider data

Granite 3.3 8B Instruct

$86.50

Cheapest tracked route/tier: Replicate API

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

GPT-2 Medium -> Granite 3.3 8B Instruct
  • No overlapping tracked provider route is sourced for GPT-2 Medium and Granite 3.3 8B Instruct; plan for SDK, billing, or endpoint changes.
  • Granite 3.3 8B Instruct adds Function calling and Tool use in local capability data.
Granite 3.3 8B Instruct -> GPT-2 Medium
  • No overlapping tracked provider route is sourced for Granite 3.3 8B Instruct and GPT-2 Medium; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.

Specs

Specification
Released2019-02-142025-03-01
Context window1k128k
Parameters355M8B
Architecturedecoder onlydecoder only
LicenseMIT(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2017-122024-04

Pricing and availability

Pricing attributeGPT-2 MediumGranite 3.3 8B Instruct
Input price-$0.03/1M tokens
Output price-$0.25/1M tokens
Providers

Capabilities

CapabilityGPT-2 MediumGranite 3.3 8B Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Granite 3.3 8B Instruct and tool use: Granite 3.3 8B Instruct. Both models share the core language-model surface, 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.

Pricing coverage is uneven: GPT-2 Medium has no token price sourced yet and Granite 3.3 8B Instruct has $0.03/1M input tokens. Provider availability is 1 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-2 Medium when provider fit are central to the workload. Choose Granite 3.3 8B Instruct 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, GPT-2 Medium or Granite 3.3 8B Instruct?

Granite 3.3 8B Instruct supports 128k tokens, while GPT-2 Medium supports 1k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is GPT-2 Medium or Granite 3.3 8B Instruct open source?

GPT-2 Medium is listed under MIT. Granite 3.3 8B Instruct 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 function calling, GPT-2 Medium or Granite 3.3 8B Instruct?

Granite 3.3 8B Instruct has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, GPT-2 Medium or Granite 3.3 8B Instruct?

Granite 3.3 8B Instruct has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-2 Medium and Granite 3.3 8B Instruct?

GPT-2 Medium is available on Azure OpenAI. Granite 3.3 8B Instruct is available on NVIDIA NIM and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick GPT-2 Medium over Granite 3.3 8B Instruct?

Granite 3.3 8B Instruct fits 128x more tokens; pick it for long-context work and GPT-2 Medium for tighter calls. If your workload also depends on provider fit, start with GPT-2 Medium; if it depends on long-context analysis, run the same evaluation with Granite 3.3 8B Instruct.

Continue comparing

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