Both are Anthropic models. Claude Opus 4.7 is the newer, generally stronger default; reach for Claude Haiku 4.5 when its lower price or specific profile matters more than the latest capabilities.
Claude Haiku 4.5 and Claude Opus 4.7 are both Anthropic models, so the real question is not which lab to trust but which tier fits your workload and budget. Claude Haiku 4.5 is anthropic's fastest, most compact model — built for speed and volume. Claude Opus 4.7 is the agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Since both come from the same lab, the comparison below focuses on the tier-and-cost trade-offs that actually separate them.
Key differences
Price: Claude Haiku 4.5 is about 5× cheaper on input ($1/$5 per 1M tokens vs $5/$25 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
Context window: Claude Opus 4.7 holds 5× more — 1M (~1,500 pages) vs 200K (~300 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 7 months (released April 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Claude Haiku 4.5
Claude Opus 4.7
Provider
Anthropic (US)
Anthropic (US)
Released
2025
April 2026
Context window
200K (~300 pages)
1M (~1,500 pages)
Price (in/out)
$1/$5 per 1M tokens
$5/$25 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
32.2%
Who wins what
Fastest Claude model: Claude Haiku 4.5 — A core design strength of Claude Haiku 4.5.
Low-latency, high-volume API calls: Claude Haiku 4.5 — A core design strength of Claude Haiku 4.5.
Real-time interactions: Claude Haiku 4.5 — A core design strength of Claude Haiku 4.5.
Long-running agentic coding workflows: Claude Opus 4.7 — A core design strength of Claude Opus 4.7.
Precise instruction following: Claude Opus 4.7 — A core design strength of Claude Opus 4.7.
Task budgets and effort tiers: Claude Opus 4.7 — A core design strength of Claude Opus 4.7.
Lowest cost at scale: Claude Haiku 4.5 — At $1/$5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Claude Opus 4.7 — Its 1M window is about 5× larger, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Claude Haiku 4.5 — At $1/$5 per 1M tokens 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 fastest claude model: Claude Haiku 4.5 — It is specifically built for that.
Anyone whose priority is long-running agentic coding workflows: Claude Opus 4.7 — That is its strongest area.
Claude Haiku 4.5: where it fits
Anthropic's fastest, most compact model — built for speed and volume. Released 2025 by Anthropic, it is built for fastest Claude model, low-latency, high-volume API calls, real-time interactions, and cheapest Claude tier.
Its trade-offs are real: smallest context in the family (200K), and not for deep reasoning. At $1 in / $5 out per million tokens, it sits in the budget price band.
Claude Opus 4.7: where it fits
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Released April 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: 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.
The bottom line for this matchup
Because Claude Haiku 4.5 and Claude Opus 4.7 come from the same lab (Anthropic), they share the same training philosophy and ecosystem — the decision is purely tier vs. cost. Claude Opus 4.7 is the more capable, more recent option; the other earns its place only when its price or latency profile fits a specific job better. Most teams should default to Claude Opus 4.7 and drop down only with a concrete reason.
Frequently asked questions
Is Claude Haiku 4.5 or Claude Opus 4.7 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, Claude Haiku 4.5 leans toward fastest claude model while Claude Opus 4.7 leans toward long-running agentic coding workflows, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Haiku 4.5 or Claude Opus 4.7?
Claude Haiku 4.5 is cheaper — $1/$5 per 1M tokens vs $5/$25 per 1M tokens, roughly 5× apart on input.
Which has the bigger context window?
Claude Opus 4.7 — 1M vs 200K, about 5× larger. Useful only if the model actually reasons over the full window, which not all do.
Should I upgrade from Claude Haiku 4.5 to Claude Opus 4.7?
Since both are Anthropic models, the newer one (Claude Opus 4.7) is usually the better default unless you need a specific cost or latency profile from the other.
Which is newer, Claude Haiku 4.5 or Claude Opus 4.7?
Claude Opus 4.7 — released April 2026, about 7 months after Claude Haiku 4.5.
Claude Haiku 4.5 vs Claude Opus 4.7
Anthropic · US | Anthropic · US · Updated June 2026
Quick verdict
Both are Anthropic models. Claude Opus 4.7 is the newer, generally stronger default; reach for Claude Haiku 4.5 when its lower price or specific profile matters more than the latest capabilities.
Claude Haiku 4.5 and Claude Opus 4.7 are both Anthropic models, so the real question is not which lab to trust but which tier fits your workload and budget. Claude Haiku 4.5 is anthropic's fastest, most compact model — built for speed and volume. Claude Opus 4.7 is the agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Since both come from the same lab, the comparison below focuses on the tier-and-cost trade-offs that actually separate them.
Key differences at a glance
▸Price: Claude Haiku 4.5 is about 5× cheaper on input ($1/$5 per 1M tokens vs $5/$25 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
▸Context window: Claude Opus 4.7 holds 5× more — 1M (~1,500 pages) vs 200K (~300 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 7 months (released April 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Claude Haiku 4.5
Claude Opus 4.7
Provider
Anthropic (US)
Anthropic (US)
Released
2025
April 2026
Context window
200K (~300 pages)
1M (~1,500 pages)
Price (in/out)
$1/$5 per 1M tokens
$5/$25 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
32.2%
Who wins what
Fastest Claude model
Claude Haiku 4.5
A core design strength of Claude Haiku 4.5.
Low-latency, high-volume API calls
Claude Haiku 4.5
A core design strength of Claude Haiku 4.5.
Real-time interactions
Claude Haiku 4.5
A core design strength of Claude Haiku 4.5.
Long-running agentic coding workflows
Claude Opus 4.7
A core design strength of Claude Opus 4.7.
Precise instruction following
Claude Opus 4.7
A core design strength of Claude Opus 4.7.
Task budgets and effort tiers
Claude Opus 4.7
A core design strength of Claude Opus 4.7.
Lowest cost at scale
Claude Haiku 4.5
At $1/$5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Claude Opus 4.7
Its 1M window is about 5× larger, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Claude Haiku 4.5
At $1/$5 per 1M tokens 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 fastest claude model
→ Claude Haiku 4.5
It is specifically built for that.
Anyone whose priority is long-running agentic coding workflows
→ Claude Opus 4.7
That is its strongest area.
Claude Haiku 4.5: where it fits
Anthropic's fastest, most compact model — built for speed and volume. Released 2025 by Anthropic, it is built for fastest Claude model, low-latency, high-volume API calls, real-time interactions, and cheapest Claude tier.
Its trade-offs are real: smallest context in the family (200K), and not for deep reasoning. At $1 in / $5 out per million tokens, it sits in the budget price band.
Claude Opus 4.7: where it fits
The agentic-coding-focused Opus that traded some long-context recall for long-run reliability. Released April 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: 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.
The bottom line for this matchup
Because Claude Haiku 4.5 and Claude Opus 4.7 come from the same lab (Anthropic), they share the same training philosophy and ecosystem — the decision is purely tier vs. cost. Claude Opus 4.7 is the more capable, more recent option; the other earns its place only when its price or latency profile fits a specific job better. Most teams should default to Claude Opus 4.7 and drop down only with a concrete reason.
Want both Claude Haiku 4.5 and Claude Opus 4.7 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 Haiku 4.5 or Claude Opus 4.7 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, Claude Haiku 4.5 leans toward fastest claude model while Claude Opus 4.7 leans toward long-running agentic coding workflows, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Haiku 4.5 or Claude Opus 4.7?
Claude Haiku 4.5 is cheaper — $1/$5 per 1M tokens vs $5/$25 per 1M tokens, roughly 5× apart on input.
Which has the bigger context window?
Claude Opus 4.7 — 1M vs 200K, about 5× larger. Useful only if the model actually reasons over the full window, which not all do.
Should I upgrade from Claude Haiku 4.5 to Claude Opus 4.7?
Since both are Anthropic models, the newer one (Claude Opus 4.7) is usually the better default unless you need a specific cost or latency profile from the other.
Which is newer, Claude Haiku 4.5 or Claude Opus 4.7?
Claude Opus 4.7 — released April 2026, about 7 months after Claude Haiku 4.5.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.