GPT-6 Astra vs Claude Opus 5
A source-backed decision comparison of two premium frontier models, focused on context economics, agent workflows, ecosystem fit and production cost.
Claude Opus 5 lists $5 input and $25 output per 1M tokens versus Astra at $10/$50.
View Claude Opus 5Anthropic keeps standard pricing across Opus 5's full 1M context, while Astra applies higher full-request rates above 272K input tokens.
View Claude Opus 5Astra lists 1.05M context versus Opus 5 at 1M; both list 128K max output.
View GPT-6 AstraOpenAI positions Astra for complex reasoning, coding, computer use, research and document creation inside its current API/Codex tool ecosystem.
View GPT-6 AstraAt a Glance
Detailed Comparison Matrix
| Feature | OpenAI GPT-6 Astra | Anthropic Claude Opus 5 |
|---|---|---|
| Provider | OpenAI | Anthropic |
| AIWS Category | AI Model | Reasoning & Coding |
| Provider Status | Not published | Not published |
| Release Date | Not published | Jul 24, 2026 |
| Context Window | 1,050,000 tokens | 1M tokens |
| Maximum Output | 128,000 tokens | 128K tokens |
| Input Price / 1M | $10.00 | $5.00 |
| Cached Input / 1M | $1.00 | $0.5000 |
| Output Price / 1M | $50.00 | $25.00 |
| Long-Context Pricing | Above 272,000 tokens · $20.00 input · $75.00 output | No separate tier stored |
| Pricing Conditions | Long-context tier: Above 272,000 tokens | No special condition stored |
| Native Input Modalities | text, image | text, image |
| Native Output Modalities | text | text |
| Built-in/API Tools | Image generation: Supported · Web search: Supported · File search: Supported · Code interpreter: Supported · Computer use: Supported · MCP: Supported · Hosted shell: Supported · Apply patch: Supported · Skills: Supported · Tool search: Supported | Not published |
| Core Capabilities | Reasoning: Supported · Image input: Supported · Audio input: Not supported · Video input: Not supported · API access: Available | Reasoning: Supported · Image input: Supported · API access: Available |
| API Availability | Available | Available |
| Provider API Model ID | gpt-6-astra | claude-opus-5 |
| Verification Checkpoint | Sep 21, 2026 | Sep 21, 2026 |
Native output is what the model returns directly. Tool capabilities are separate.
Winner by Use Case
Opus 5 has half Astra's standard input/output rates and Anthropic documents standard per-token pricing across the full 1M context.
Astra's entire request moves to 2× input/cache and 1.5× output pricing above 272K input, while Opus 5 keeps its standard per-token rate across its 1M window.
OpenAI explicitly positions Astra for end-to-end coding, computer use, research and document creation and exposes it through the current OpenAI agent/tool ecosystem.
Opus 5 is available through the Claude API and Anthropic integrations across AWS, Google Cloud and Microsoft Foundry.
Pricing & Token Economics
Example uses 1M standard input tokens + 1M output tokens. It excludes caching, long-context, storage, batch, regional and other special pricing conditions.
What We Think
The price gap is structural, not marginal
At standard rates, Opus 5 is half Astra's input and output token price. The gap becomes larger for very large prompts because Astra applies a >272K full-request surcharge while Anthropic states that current 1M-context Claude models retain standard per-token pricing across the full window.
Astra's case is ecosystem and end-to-end workflow fit
OpenAI positions Astra as its most capable model for the hardest end-to-end work across reasoning, coding, computer use, research and document creation. That makes it especially relevant where the surrounding OpenAI/Codex tools, execution environment and existing integrations are part of the production architecture.
Provider benchmarks do not settle your routing decision
Both providers publish strong capability claims and benchmark results, but those measurements are not identical and should not be normalized into a synthetic winner. The defensible production comparison is task-level: accepted-result rate, latency, tool reliability, review effort and total cost under the same workload.
Methodology & Sources
AI World Scope compares current first-party model documentation, pricing rules and platform availability. Directly comparable specifications such as list price, context capacity and documented pricing thresholds support explicit decisions. Capability and benchmark claims from different providers are not normalized into an overall performance score. Production routing should be validated with matched tasks and acceptance criteria.
Canonical numeric specifications and pricing are resolved from the Models Catalog at render time.
OpenAI and Anthropic provider positioning is labeled as provider guidance rather than independent performance evidence.
No cross-provider benchmark scores are normalized or converted into an overall ranking.
Tool availability can depend on API endpoint, platform and integration; verify the exact production path.
Key Takeaways
Claude Opus 5 lists half Astra's standard input/output token rates.
Astra's >272K pricing rule can materially change long-context economics.
Both models sit in roughly the same one-million-token / 128K-output capacity class.
Astra's strongest decision case is OpenAI/Codex ecosystem fit; Opus 5's is lower and more predictable token economics.
Use matched workload evaluations before making a model-quality conclusion.