Pick Claude Opus 4.7 for long-running agentic coding workflows or precise instruction following. 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. On a tight budget at scale, GPT-5.6 Terra is the value pick.
Claude Opus 4.7 (Anthropic) and GPT-5.6 Terra (OpenAI) 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. 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. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences
Price: GPT-5.6 Terra is about 2× cheaper on input ($2.5/$15 per 1M tokens vs $5/$25 per 1M tokens) — meaningful once you are processing millions of tokens a month.
Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
Recency: GPT-5.6 Terra is the newer model by about 3 months (released July 9, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Claude Opus 4.7
GPT-5.6 Terra
Provider
Anthropic (US)
OpenAI (US)
Released
April 16, 2026
July 9, 2026
Context window
1M (~1,500 pages)
1M (~1,500 pages)
Price (in/out)
$5/$25 per 1M tokens
$2.5/$15 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, 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 — 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.
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.
Lowest cost at scale: GPT-5.6 Terra — At $2.5/$15 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume: GPT-5.6 Terra — At $2.5/$15 per 1M tokens it undercuts Claude Opus 4.7, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is long-running agentic coding workflows: Claude Opus 4.7 — It is specifically built for that.
Anyone whose priority is balanced everyday work at roughly half of sol's price: GPT-5.6 Terra — 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.
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: 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.
The bottom line for this matchup
Claude Opus 4.7 and GPT-5.6 Terra overlap enough that the right pick depends on your specific job. GPT-5.6 Terra costs less per token; and each leads in its own area — Claude Opus 4.7 for long-running agentic coding workflows, GPT-5.6 Terra for balanced everyday work at roughly half of sol's price. 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 GPT-5.6 Terra better for coding?
Public SWE-Bench figures are not available for GPT-5.6 Terra, 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 GPT-5.6 Terra leans toward balanced everyday work at roughly half of sol's price, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Opus 4.7 or GPT-5.6 Terra?
GPT-5.6 Terra is cheaper — $5/$25 per 1M tokens vs $2.5/$15 per 1M tokens, roughly 2× apart on input.
Which has the bigger context window?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Claude Opus 4.7 and GPT-5.6 Terra together?
Yes — a multi-model platform like LumiChats gives you Claude Opus 4.7, GPT-5.6 Terra 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 GPT-5.6 Terra?
GPT-5.6 Terra — released July 9, 2026, about 3 months after Claude Opus 4.7.
Claude Opus 4.7 vs GPT-5.6 Terra
Anthropic · US | OpenAI · US · Updated June 2026
Quick verdict
Pick Claude Opus 4.7 for long-running agentic coding workflows or precise instruction following. 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. On a tight budget at scale, GPT-5.6 Terra is the value pick.
Claude Opus 4.7 (Anthropic) and GPT-5.6 Terra (OpenAI) 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. 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. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences at a glance
▸Price: GPT-5.6 Terra is about 2× cheaper on input ($2.5/$15 per 1M tokens vs $5/$25 per 1M tokens) — meaningful once you are processing millions of tokens a month.
▸Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
▸Recency: GPT-5.6 Terra is the newer model by about 3 months (released July 9, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Claude Opus 4.7
GPT-5.6 Terra
Provider
Anthropic (US)
OpenAI (US)
Released
April 16, 2026
July 9, 2026
Context window
1M (~1,500 pages)
1M (~1,500 pages)
Price (in/out)
$5/$25 per 1M tokens
$2.5/$15 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, 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
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.
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.
Lowest cost at scale
GPT-5.6 Terra
At $2.5/$15 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ GPT-5.6 Terra
At $2.5/$15 per 1M tokens it undercuts Claude Opus 4.7, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is long-running agentic coding workflows
→ Claude Opus 4.7
It is specifically built for that.
Anyone whose priority is balanced everyday work at roughly half of sol's price
→ GPT-5.6 Terra
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.
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: 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.
The bottom line for this matchup
Claude Opus 4.7 and GPT-5.6 Terra overlap enough that the right pick depends on your specific job. GPT-5.6 Terra costs less per token; and each leads in its own area — Claude Opus 4.7 for long-running agentic coding workflows, GPT-5.6 Terra for balanced everyday work at roughly half of sol's price. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Claude Opus 4.7 and GPT-5.6 Terra 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 GPT-5.6 Terra better for coding?
Public SWE-Bench figures are not available for GPT-5.6 Terra, 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 GPT-5.6 Terra leans toward balanced everyday work at roughly half of sol's price, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Opus 4.7 or GPT-5.6 Terra?
GPT-5.6 Terra is cheaper — $5/$25 per 1M tokens vs $2.5/$15 per 1M tokens, roughly 2× apart on input.
Which has the bigger context window?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Claude Opus 4.7 and GPT-5.6 Terra together?
Yes — a multi-model platform like LumiChats gives you Claude Opus 4.7, GPT-5.6 Terra 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 GPT-5.6 Terra?
GPT-5.6 Terra — released July 9, 2026, about 3 months after Claude Opus 4.7.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.