GPT-5.2 vs IBM Granite 4.1

OpenAI · US  |  IBM · US · Updated June 2026

Quick verdict

Pick GPT-5.2 for strong all-round reasoning or reliable structured output. Pick IBM Granite 4.1 for enterprise-grade open weights - apache 2.0, iso 42001-certified, cryptographically signed or efficient hybrid mamba-2/transformer design - much lower memory and faster inference. Choose IBM Granite 4.1 if you need self-hosting or data privacy; GPT-5.2 if you want a managed API.

GPT-5.2 (OpenAI) and IBM Granite 4.1 (IBM) are two of the models people most often weigh against each other in 2026. GPT-5.2 is a capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. IBM Granite 4.1 is iBM's most complete open-weight enterprise release - small, Apache-2.0, long-context and governance-friendly, built to deploy efficiently rather than top the leaderboard. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecGPT-5.2IBM Granite 4.1
ProviderOpenAI (US) IBM (US)
ReleasedDecember 11, 2025 April 29, 2026
Context window400K (~600 pages) 512K (~768 pages)
Price (in/out)$1.75/$14 per 1M tokens Open weight (self-host / free)
Open weight?No — API only Yes — self-hostable
Modalitiestext, image, code text, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Strong all-round reasoning

GPT-5.2

IBM Granite 4.1 is comparatively weak here — best as a workhorse; reasoning-heavy tasks favor larger models

Reliable structured output

GPT-5.2

GPT-5.2 lists reliable structured output among its strengths; IBM Granite 4.1 does not.

Broad ecosystem and tooling

GPT-5.2

GPT-5.2 lists broad ecosystem and tooling among its strengths; IBM Granite 4.1 does not.

Enterprise-grade open weights - Apache 2.0, ISO 42001-certified, cryptographically signed

IBM Granite 4.1

Open weights make this possible at all — GPT-5.2 is API-only, so it cannot leave the vendor's servers.

Efficient hybrid Mamba-2/transformer design - much lower memory and faster inference

IBM Granite 4.1

Its 512K window holds about 1.3× more than GPT-5.2's 400K in a single prompt.

512K-token context on small, deployable dense models (3B/8B/30B)

IBM Granite 4.1

GPT-5.2 is comparatively weak here — smaller context than flagships

Lowest cost at scale

IBM Granite 4.1

Its weights are open, so at volume you pay for your own hardware instead of GPT-5.2's $1.75/$14 per 1M tokens.

Largest single-prompt input

IBM Granite 4.1

Its 512K window is about 1.3× larger than GPT-5.2's 400K, fitting roughly 768 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

IBM Granite 4.1

At Open weight (self-host / free) it undercuts GPT-5.2, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

IBM Granite 4.1

Larger 512K window fits more in one prompt.

A team with data-privacy or self-hosting needs

IBM Granite 4.1

Open weights let you run it on your own hardware; GPT-5.2 is API-only.

Anyone whose priority is strong all-round reasoning

GPT-5.2

It is specifically built for that.

Anyone whose priority is enterprise-grade open weights - apache 2.0, iso 42001-certified, cryptographically signed

IBM Granite 4.1

That is its strongest area.

GPT-5.2: where it fits

A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. Released December 11, 2025 by OpenAI, it is built for strong all-round reasoning, reliable structured output, broad ecosystem and tooling, and professional workflows.

Its trade-offs are real: superseded by GPT-5.5, and smaller context than flagships. At $1.75 in / $14 out per million tokens, it sits in the mid price band.

IBM Granite 4.1: where it fits

IBM's most complete open-weight enterprise release - small, Apache-2.0, long-context and governance-friendly, built to deploy efficiently rather than top the leaderboard. Released April 29, 2026 by IBM, it is built for enterprise-grade open weights - Apache 2.0, ISO 42001-certified, cryptographically signed, efficient hybrid Mamba-2/transformer design - much lower memory and faster inference, 512K-token context on small, deployable dense models (3B/8B/30B), and free to self-host; governance-friendly for on-prem and regulated deployments.

Its trade-offs: not a frontier-intelligence competitor - built for efficient deployment, not top benchmark scores, best as a workhorse; reasoning-heavy tasks favor larger models, instruct models are text-focused (vision and speech are separate family members), and efficiency and performance claims are IBM's own. As an open-weight model, its running cost is your own hardware rather than a per-token fee.

The bottom line for this matchup

The defining split here is open vs. closed. IBM Granite 4.1 gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. GPT-5.2 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.

Want both GPT-5.2 and IBM Granite 4.1 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is GPT-5.2 or IBM Granite 4.1 better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, GPT-5.2 leans toward strong all-round reasoning while IBM Granite 4.1 leans toward enterprise-grade open weights - apache 2.0, iso 42001-certified, cryptographically signed, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, GPT-5.2 or IBM Granite 4.1?

IBM Granite 4.1 is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while GPT-5.2 is API-metered at $1.75/$14 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.

Which has the bigger context window?

IBM Granite 4.1 — 512K vs 400K, about 1.3× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both GPT-5.2 and IBM Granite 4.1 together?

Yes — a multi-model platform like LumiChats gives you GPT-5.2, IBM Granite 4.1 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, GPT-5.2 or IBM Granite 4.1?

IBM Granite 4.1 — released April 29, 2026, about 5 months after GPT-5.2.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.