GPT-5.6 Terra vs MAI-Thinking-1

OpenAI · US  |  Microsoft · US · Updated June 2026

Quick verdict

Pick GPT-5.6 Terra for balanced everyday work at roughly half of sol's price or competitive with gpt-5.5 quality at about 2x lower cost. Pick MAI-Thinking-1 for very strong math reasoning (aime 2025 97%, aime 2026 94.5%) or microsoft's first in-house flagship reasoner, trained without openai distillation. On a tight budget at scale, MAI-Thinking-1 is the value pick.

GPT-5.6 Terra (OpenAI) and MAI-Thinking-1 (Microsoft) are two of the models people most often weigh against each other in 2026. GPT-5.6 Terra is the mid-tier daily driver of the GPT-5.6 family — near-flagship quality at about half of Sol's cost. MAI-Thinking-1 is microsoft's first fully in-house flagship reasoning model — a Claude-class reasoner built independently to cut its OpenAI dependence. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecGPT-5.6 TerraMAI-Thinking-1
ProviderOpenAI (US) Microsoft (US)
ReleasedJuly 9, 2026 June 2, 2026
Context window1M (~1,500 pages) 256K (~384 pages)
Price (in/out)$2.5/$15 per 1M tokens Not published
Open weight?No — API only No — API only
Modalitiestext, image, code text, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Balanced everyday work at roughly half of Sol's price

GPT-5.6 Terra

A core design strength of GPT-5.6 Terra.

Competitive with GPT-5.5 quality at about 2x lower cost

GPT-5.6 Terra

A core design strength of GPT-5.6 Terra.

Solid agentic coding (Terminal-Bench 2.1 in the mid-80s)

GPT-5.6 Terra

A core design strength of GPT-5.6 Terra.

Very strong math reasoning (AIME 2025 97%, AIME 2026 94.5%)

MAI-Thinking-1

A core design strength of MAI-Thinking-1.

Microsoft's first in-house flagship reasoner, trained without OpenAI distillation

MAI-Thinking-1

A core design strength of MAI-Thinking-1.

Efficient reasoning at low token cost for its class

MAI-Thinking-1

A core design strength of MAI-Thinking-1.

Lowest cost at scale

MAI-Thinking-1

At Not published, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Largest single-prompt input

GPT-5.6 Terra

Its 1M window is about 3.9× larger, fitting roughly 1,500 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

MAI-Thinking-1

At Not published it undercuts GPT-5.6 Terra, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

GPT-5.6 Terra

Larger 1M window fits more in one prompt.

Anyone whose priority is balanced everyday work at roughly half of sol's price

GPT-5.6 Terra

It is specifically built for that.

Anyone whose priority is very strong math reasoning (aime 2025 97%, aime 2026 94.5%)

MAI-Thinking-1

That is its strongest area.

GPT-5.6 Terra: where it fits

The mid-tier daily driver of the GPT-5.6 family — near-flagship quality at about half of Sol's cost. Released July 9, 2026 by OpenAI, it is built for balanced everyday work at roughly half of Sol's price, competitive with GPT-5.5 quality at about 2x lower cost, solid agentic coding (Terminal-Bench 2.1 in the mid-80s), and same 1M context and programmatic tool calling as Sol.

Its trade-offs are real: fewer independently verified benchmarks than Sol, and trails it across coding evals, and no open weights. At $2.5 in / $15 out per million tokens, it sits in the mid price band.

MAI-Thinking-1: where it fits

Microsoft's first fully in-house flagship reasoning model — a Claude-class reasoner built independently to cut its OpenAI dependence. Released June 2, 2026 by Microsoft, it is built for very strong math reasoning (AIME 2025 97%, AIME 2026 94.5%), microsoft's first in-house flagship reasoner, trained without OpenAI distillation, efficient reasoning at low token cost for its class, and competitive with Claude Opus 4.6 on SWE-Bench Pro (vendor-reported).

Its trade-offs: closed and in private preview — no open weights, no published pricing, thin availability, and benchmarks are largely self-reported.

The bottom line for this matchup

GPT-5.6 Terra and MAI-Thinking-1 overlap enough that the right pick depends on your specific job. MAI-Thinking-1 costs less per token; GPT-5.6 Terra holds the larger context; and each leads in its own area — GPT-5.6 Terra for balanced everyday work at roughly half of sol's price, MAI-Thinking-1 for very strong math reasoning (aime 2025 97%, aime 2026 94.5%). Rather than crowning one, run the same hard task through both once and let the results decide.

Want both GPT-5.6 Terra and MAI-Thinking-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-5.6 Terra or MAI-Thinking-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-5.6 Terra leans toward balanced everyday work at roughly half of sol's price while MAI-Thinking-1 leans toward very strong math reasoning (aime 2025 97%, aime 2026 94.5%), and that positioning usually predicts which feels better on your codebase.

Which is cheaper, GPT-5.6 Terra or MAI-Thinking-1?

MAI-Thinking-1 is cheaper — $2.5/$15 per 1M tokens vs Not published.

Which has the bigger context window?

GPT-5.6 Terra — 1M vs 256K, about 3.9× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both GPT-5.6 Terra and MAI-Thinking-1 together?

Yes — a multi-model platform like LumiChats gives you GPT-5.6 Terra, MAI-Thinking-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-5.6 Terra or MAI-Thinking-1?

GPT-5.6 Terra — released July 9, 2026, about 37 days after MAI-Thinking-1.

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.