Pick Claude Opus 4.7 for long-running agentic coding workflows or precise instruction following. Pick MAI-1-preview for microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai or ranked in the top 15 on lm arena at launch. On a tight budget at scale, MAI-1-preview is the value pick.
Claude Opus 4.7 (Anthropic) and MAI-1-preview (Microsoft) are two of the models people most often weigh against each other in 2026. Claude Opus 4.7 is the agentic-coding-focused Opus that traded some long-context recall for long-run reliability. MAI-1-preview is microsoft's first fully in-house foundation model - a strategic break from sole reliance on OpenAI, trained on ~15,000 H100 GPUs. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Context window: Claude Opus 4.7 holds 7.8× more — 1M (~1,500 pages) vs 128K (~192 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Claude Opus 4.7 is the newer model by about 8 months (released April 16, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Claude Opus 4.7
MAI-1-preview
Provider
Anthropic (US)
Microsoft (US)
Released
April 16, 2026
August 28, 2025
Context window
1M (~1,500 pages)
128K (~192 pages)
Price (in/out)
$5/$25 per 1M tokens
Not published
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, code
SWE-Bench Verified
87.6%
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Long-running agentic coding workflows: Claude Opus 4.7 — Its 1M window holds about 7.8× more than MAI-1-preview's 128K in a single prompt.
Precise instruction following: Claude Opus 4.7 — The agentic-coding-focused Opus that traded some long-context recall for long-run reliability — and it carries the larger 1M context.
Task budgets and effort tiers: Claude Opus 4.7 — The agentic-coding-focused Opus that traded some long-context recall for long-run reliability — and it is the newer of the two.
Microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on OpenAI: MAI-1-preview — MAI-1-preview lists microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on OpenAI among its strengths; Claude Opus 4.7 does not.
Ranked in the top 15 on LM Arena at launch: MAI-1-preview — MAI-1-preview lists ranked in the top 15 on LM Arena at launch among its strengths; Claude Opus 4.7 does not.
Trained on roughly 15,000 NVIDIA H100 GPUs, a genuine internal infrastructure investment: MAI-1-preview — MAI-1-preview lists trained on roughly 15,000 NVIDIA H100 GPUs, a genuine internal infrastructure investment among its strengths; Claude Opus 4.7 does not.
Lowest cost at scale: MAI-1-preview — Its weights are open, so at volume you pay for your own hardware instead of Claude Opus 4.7's $5/$25 per 1M tokens.
Largest single-prompt input: Claude Opus 4.7 — Its 1M window is about 7.8× larger than MAI-1-preview's 128K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: MAI-1-preview — At Not published it undercuts Claude Opus 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Claude Opus 4.7 — Larger 1M window fits more in one prompt.
Anyone whose priority is long-running agentic coding workflows: Claude Opus 4.7 — It is specifically built for that.
Anyone whose priority is microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai: MAI-1-preview — That is its strongest area.
Claude Opus 4.7: where it fits
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Released April 16, 2026 by Anthropic, it is built for long-running agentic coding workflows, precise instruction following, task budgets and effort tiers, and large-codebase operation.
Its trade-offs are real: long-context recall regressed vs 4.6, and superseded by Opus 4.8. At $5 in / $25 out per million tokens, it sits in the premium price band.
MAI-1-preview: where it fits
Microsoft's first fully in-house foundation model - a strategic break from sole reliance on OpenAI, trained on ~15,000 H100 GPUs. Released August 28, 2025 by Microsoft, it is built for microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on OpenAI, ranked in the top 15 on LM Arena at launch, trained on roughly 15,000 NVIDIA H100 GPUs, a genuine internal infrastructure investment, and rolled into Copilot alongside OpenAI models, giving Microsoft a real second option.
Its trade-offs: a 'preview' release, not yet positioned as Microsoft's primary Copilot model, no public per-token API pricing - not sold as a standalone product, and distinct from Microsoft's later MAI-Thinking-1 reasoning model - an earlier, more general-purpose entry.
The bottom line for this matchup
Claude Opus 4.7 and MAI-1-preview overlap enough that the right pick depends on your specific job. MAI-1-preview costs less per token; Claude Opus 4.7 holds the larger context; and each leads in its own area — Claude Opus 4.7 for long-running agentic coding workflows, MAI-1-preview for microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Claude Opus 4.7 or MAI-1-preview better for coding?
Public SWE-Bench figures are not available for MAI-1-preview, so the honest test is your own repository — run an identical real bug through both. By design, Claude Opus 4.7 leans toward long-running agentic coding workflows while MAI-1-preview leans toward microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Opus 4.7 or MAI-1-preview?
MAI-1-preview is cheaper — $5/$25 per 1M tokens vs Not published.
Which has the bigger context window?
Claude Opus 4.7 — 1M vs 128K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Claude Opus 4.7 and MAI-1-preview together?
Yes — a multi-model platform like LumiChats gives you Claude Opus 4.7, MAI-1-preview 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, Claude Opus 4.7 or MAI-1-preview?
Claude Opus 4.7 — released April 16, 2026, about 8 months after MAI-1-preview.
Claude Opus 4.7 vs MAI-1-preview
Anthropic · US | Microsoft · US · Updated June 2026
Quick verdict
Pick Claude Opus 4.7 for long-running agentic coding workflows or precise instruction following. Pick MAI-1-preview for microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai or ranked in the top 15 on lm arena at launch. On a tight budget at scale, MAI-1-preview is the value pick.
Claude Opus 4.7 (Anthropic) and MAI-1-preview (Microsoft) are two of the models people most often weigh against each other in 2026. Claude Opus 4.7 is the agentic-coding-focused Opus that traded some long-context recall for long-run reliability. MAI-1-preview is microsoft's first fully in-house foundation model - a strategic break from sole reliance on OpenAI, trained on ~15,000 H100 GPUs. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Context window: Claude Opus 4.7 holds 7.8× more — 1M (~1,500 pages) vs 128K (~192 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Claude Opus 4.7 is the newer model by about 8 months (released April 16, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Claude Opus 4.7
MAI-1-preview
Provider
Anthropic (US)
Microsoft (US)
Released
April 16, 2026
August 28, 2025
Context window
1M (~1,500 pages)
128K (~192 pages)
Price (in/out)
$5/$25 per 1M tokens
Not published
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, code
SWE-Bench Verified
87.6%
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Long-running agentic coding workflows
Claude Opus 4.7
Its 1M window holds about 7.8× more than MAI-1-preview's 128K in a single prompt.
Precise instruction following
Claude Opus 4.7
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability — and it carries the larger 1M context.
Task budgets and effort tiers
Claude Opus 4.7
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability — and it is the newer of the two.
Microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on OpenAI
MAI-1-preview
MAI-1-preview lists microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on OpenAI among its strengths; Claude Opus 4.7 does not.
Ranked in the top 15 on LM Arena at launch
MAI-1-preview
MAI-1-preview lists ranked in the top 15 on LM Arena at launch among its strengths; Claude Opus 4.7 does not.
Trained on roughly 15,000 NVIDIA H100 GPUs, a genuine internal infrastructure investment
MAI-1-preview
MAI-1-preview lists trained on roughly 15,000 NVIDIA H100 GPUs, a genuine internal infrastructure investment among its strengths; Claude Opus 4.7 does not.
Lowest cost at scale
MAI-1-preview
Its weights are open, so at volume you pay for your own hardware instead of Claude Opus 4.7's $5/$25 per 1M tokens.
Largest single-prompt input
Claude Opus 4.7
Its 1M window is about 7.8× larger than MAI-1-preview's 128K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ MAI-1-preview
At Not published it undercuts Claude Opus 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Claude Opus 4.7
Larger 1M window fits more in one prompt.
Anyone whose priority is long-running agentic coding workflows
→ Claude Opus 4.7
It is specifically built for that.
Anyone whose priority is microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai
→ MAI-1-preview
That is its strongest area.
Claude Opus 4.7: where it fits
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Released April 16, 2026 by Anthropic, it is built for long-running agentic coding workflows, precise instruction following, task budgets and effort tiers, and large-codebase operation.
Its trade-offs are real: long-context recall regressed vs 4.6, and superseded by Opus 4.8. At $5 in / $25 out per million tokens, it sits in the premium price band.
MAI-1-preview: where it fits
Microsoft's first fully in-house foundation model - a strategic break from sole reliance on OpenAI, trained on ~15,000 H100 GPUs. Released August 28, 2025 by Microsoft, it is built for microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on OpenAI, ranked in the top 15 on LM Arena at launch, trained on roughly 15,000 NVIDIA H100 GPUs, a genuine internal infrastructure investment, and rolled into Copilot alongside OpenAI models, giving Microsoft a real second option.
Its trade-offs: a 'preview' release, not yet positioned as Microsoft's primary Copilot model, no public per-token API pricing - not sold as a standalone product, and distinct from Microsoft's later MAI-Thinking-1 reasoning model - an earlier, more general-purpose entry.
The bottom line for this matchup
Claude Opus 4.7 and MAI-1-preview overlap enough that the right pick depends on your specific job. MAI-1-preview costs less per token; Claude Opus 4.7 holds the larger context; and each leads in its own area — Claude Opus 4.7 for long-running agentic coding workflows, MAI-1-preview for microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Claude Opus 4.7 and MAI-1-preview 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.
Is Claude Opus 4.7 or MAI-1-preview better for coding?
Public SWE-Bench figures are not available for MAI-1-preview, so the honest test is your own repository — run an identical real bug through both. By design, Claude Opus 4.7 leans toward long-running agentic coding workflows while MAI-1-preview leans toward microsoft's first fully in-house, end-to-end foundation model - a historic break from relying solely on openai, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Opus 4.7 or MAI-1-preview?
MAI-1-preview is cheaper — $5/$25 per 1M tokens vs Not published.
Which has the bigger context window?
Claude Opus 4.7 — 1M vs 128K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Claude Opus 4.7 and MAI-1-preview together?
Yes — a multi-model platform like LumiChats gives you Claude Opus 4.7, MAI-1-preview 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, Claude Opus 4.7 or MAI-1-preview?
Claude Opus 4.7 — released April 16, 2026, about 8 months after MAI-1-preview.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.