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Model Review

Model deprecation timeline: What's being phased out.

Claude Opus 4.7 is effectively obsolete. GPT-4o is history. We track which models are being phased out in 2026 and what you should migrate to.

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TL;DR

TL;DR: Claude Opus 4.7 is effectively obsolete. GPT-4o is history. We track which models are being phased out in 2026 and what you should migrate to.

Key takeaways

  • Model deprecation timeline: What's being phased out: If you locked in an AI model six months ago and assumed it would still be the smart choice today, 2026 has news for you.
  • Officially deprecated: Claude Opus 4.7 (Release: 16 Apr 2026) **Status:** Technically active, effectively obsolete **Reason:** Superseded by Opus 4.8 (reported 63.8% vs 69.2% on [SWE-bench Pro](https://www.morphllm.com/swe-bench-pro)) at identical pricing ($5/$25) **Migrate to:** Claude Opus 4.8 (immediate upgrade, same price, better performance) **Timeline:** Anthropic hasn't announced a retirement date; an announcement is plausibly a Q3 2026 thing, but that's a projection, not a published schedule Opus 4.7 [launched on 16 April 2026](https://llm-stats.com/blog/research/claude-opus-4-7-launch).
  • Effectively obsolete (still available, not recommended): Claude Opus 4.7 Technically it's still "active," but Opus 4.7 stops making sense the moment you look at the price tag.
  • Migration recommendations: Opus 4.7: Opus 4.8: Minimal (same API): ~5 pts SWE-bench GPT-4o: GPT-5.5: Minimal (OpenAI API): +15+ pts SWE-bench GPT-4o-mini: GPT-5.5 Instant: Minimal (OpenAI API): +10 pts SWE-bench, cheaper Gemini 1.5 Pro: Gemini 3.1 Pro: Minimal (Google API): +5 pts SWE-bench Gemini 1.5 Flash: Gemini 3.5 Flash: Minimal (Google API): +3 pts SWE-bench, cheaper Claude 3.5 Sonnet: Sonnet 4.6: Minimal (Anthropic API): +8 pts SWE-bench, [1M context](https://claude.com/blog/1m-context-ga)
  • The Fable 5 question: [Claude Fable 5's suspension (9-12 June 2026)](https://ssntpl.com/blog-claude-fable-5-access-suspended/) left users in an odd spot: the most capable model yet released became unavailable, with no like-for-like replacement.

Model deprecation timeline: What's being phased out

If you locked in an AI model six months ago and assumed it would still be the smart choice today, 2026 has news for you. The model you picked is probably already a generation behind, and in a few cases it has been switched off entirely.

This is the quiet cost of the AI race that nobody warns you about when you sign up. Vendors keep shipping faster, cheaper, better models, then retire the old ones out from under you. For a business team, that means the tool you wired into your workflow can stop responding on a date you didn't choose, or quietly become the worst-value option in its own lineup.

The good news: most of these moves are easy to plan around if you know what's coming. Below is the current state of play across Anthropic, OpenAI and Google, plus a plain migration path for each model that's on the way out.

Officially deprecated

Claude Opus 4.7 (Release: 16 Apr 2026)

Status: Technically active, effectively obsolete Reason: Superseded by Opus 4.8 (reported 63.8% vs 69.2% on SWE-bench Pro) at identical pricing ($5/$25) Migrate to: Claude Opus 4.8 (immediate upgrade, same price, better performance) Timeline: Anthropic hasn't announced a retirement date; an announcement is plausibly a Q3 2026 thing, but that's a projection, not a published schedule

Opus 4.7 launched on 16 April 2026. Worth noting on the benchmark gap: independent leaderboards put Opus 4.7 closer to 64.3% on SWE-bench Pro rather than the 63.8% often quoted, which makes the lead held by Opus 4.8 about 4.9 points instead of 5.4. Either way, 4.8 is ahead at the same $5/$25 pricing.

GPT-4o and GPT-4o-mini

Status: Deprecated by OpenAI Reason: Superseded by the GPT-5.5 series (GPT-5.5 at 58.6%; GPT-5.5 Pro reportedly 62.4%; Instant in the low-40s) Migrate to: GPT-5.5 for premium use, GPT-5.5 Instant for budget use Timeline: OpenAI retired GPT-4o in ChatGPT in February 2026 with full removal across plans by 3 April 2026; API windows are still being phased, and any specific Q3-Q4 cutoff is a forecast, not a confirmed date

The GPT-5.5 numbers are uneven on how well they hold up. GPT-5.5 at 58.6% on SWE-bench Pro is well documented. The GPT-5.5 Pro figure of 62.4% is harder to pin down and should be treated as unconfirmed for now.

Claude 3.5 Sonnet / Claude 3 Opus

Status: Fully deprecated Reason: Several generations behind current Sonnet 4.6 and Opus 4.8 Migrate to: Claude Sonnet 4.6 ($3/$15) or Opus 4.8 ($5/$25) Timeline: Anthropic retired both on 5 January 2026; Opus 3 is now available by request only

Migration recommendations

FromToEffortBenefit
Opus 4.7Opus 4.8Minimal (same API)~5 pts SWE-bench
GPT-4oGPT-5.5Minimal (OpenAI API)+15+ pts SWE-bench
GPT-4o-miniGPT-5.5 InstantMinimal (OpenAI API)+10 pts SWE-bench, cheaper
Gemini 1.5 ProGemini 3.1 ProMinimal (Google API)+5 pts SWE-bench
Gemini 1.5 FlashGemini 3.5 FlashMinimal (Google API)+3 pts SWE-bench, cheaper
Claude 3.5 SonnetSonnet 4.6Minimal (Anthropic API)+8 pts SWE-bench, 1M context

The Fable 5 question

Claude Fable 5's suspension (9-12 June 2026) left users in an odd spot: the most capable model yet released became unavailable, with no like-for-like replacement. Fable 5 went GA on 9 June at 80.3% on SWE-bench Pro, then a US export-control directive forced it offline three days later, with access expected back around 1 July. If you'd already started building on Fable 5, the move is to fall back to Opus 4.8 (69.2% vs 80.3%) and plan to reassess once Fable 5 is reinstated.

Verdict

Deprecation is speeding up. A six-month model lifecycle was remarkable in 2024; now it's just the rhythm. Build for it: put your LLM calls behind an interface so you can swap models without rewriting half your app. Whatever you deploy today will be yesterday's model by year's end. The teams that handle this well are the ones that assumed it from the start.

Source trail

Primary references to keep this briefing grounded

AI and automation information changes quickly. Use these official or primary references to verify the claims, pricing, product behaviour, and compliance details before committing budget or production data.

What to do next

  1. Write the job-to-be-done before looking at another product.
  2. Score each shortlisted tool for workflow fit, data handling, cost, and owner readiness.
  3. Run one small pilot and remove anything the team does not use weekly.

Want help applying this? Explore the AI tools directory.

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