Launched at $2.50/$15, cut to $2/$12 on July 30, 2026. Long-context above 272K: $4/$18. Part of the government-reviewed GPT-5.6 family, fully public July 9, 2026.
Within 1–4 points of Sol on core benchmarks (SWE-bench Pro 63.4%, Terminal-Bench 2.1 87.4%, GPQA Diamond 92.9%) at $2/$12
Strong long-context recall: 72.5% on 512K–1M tasks vs Luna's 41.3% collapse
July 30, 2026 price cut made it ~2x cheaper than GPT-5.5 for comparable capability
Weaknesses
Big gap to Sol on computer use (OSWorld 50.2% vs 62.6%) — not a drop-in Sol replacement for agents
Well behind Claude Opus 5 on repository-level coding (SWE-bench Pro ~63% vs 79.2%)
Real-world use cases
What people actually use GPT-5.6 Terra for.
Production coding assistance within 1–4 points of flagship Sol at 60% lower output cost
Long-document pipelines — 72.5% recall on 512K–1M token tasks, nearly matching Sol
Enterprise workloads that previously ran on GPT-5.5 at $5/$30, now ~half price
How GPT-5.6 Terra compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-5.6 Terra runs about 65% cheaper per token and takes 8.2x the context. Take GPT-5.6 Terra unless you specifically need what GPT-4 Turbo does better.
vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), GPT-5.6 Terra runs about 65% cheaper per token and takes 8.2x the context. Take GPT-5.6 Terra unless you specifically need what GPT-4 Turbo (older v1106) does better.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), GPT-5.6 Terra runs about 65% cheaper per token and takes 8.2x the context. Take GPT-5.6 Terra unless you specifically need what GPT-4 Turbo Preview does better.
Price History
GPT-5.6 Terra pricing over time
↑100% since Aug 7
38 data points · tracked daily since Aug 7, 2026
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High-volume production and enterprise workloads. Start free — no card required.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
Verdict
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Quality score
66%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
Legacy128K ContextPinned SnapshotGPT-4Premium
Best for
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Verdict
A once-capable flagship now overshadowed by faster, cheaper, and smarter successors.
Quality score
67%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
This is a 'preview' variant that OpenAI has largely deprecated in favor of gpt-4-turbo and gpt-4o. The endpoint may be retired or redirected by OpenAI without notice. Check the OpenAI model deprecation schedule before building production applications on this model.
GPT-4Long ContextLegacyPremiumOpenAI
Best for
Complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.
GPT-5.6 Terra costs $2 per million input tokens and $12 per million output tokens on the API, with cached input at $0.2 per million. A month of 10M input and 2M output tokens runs about $44.00 at list price, before any batch or caching discounts.
What is the context window of GPT-5.6 Terra?
GPT-5.6 Terra has a 1.1M tokens context window, with up to 128k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-5.6 Terra?
GPT-5.6 Terra's training data runs through February 16, 2026, and the model was released on July 9, 2026. For anything after that date it needs web search or documents in the prompt.
What is GPT-5.6 Terra best for?
GPT-5.6 Terra is best for high-volume production and enterprise workloads. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid GPT-5.6 Terra?
You need Sol-level computer use or Opus 5-level repo engineering.
What is a cheaper alternative to GPT-5.6 Terra?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5.6 Terra's $2.00/1M/1M — roughly 20% less per token all in. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-5.6 Terra's pricing is the thing stopping you.
What is a faster alternative to GPT-5.6 Terra?
GPT-4 Turbo — balanced against GPT-5.6 Terra's balanced, with 128k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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