Opus급 지능 · 4배 저렴 · 벤치마크 전체 · Cursor 공동 훈련 · API 연동
2026년 7월 8일 SpaceXAI가 상장 후 첫 플래그십 모델 Grok 4.5를 공개했습니다. 일론 머스크는 「Opus급 지능을 훨씬 낮은 비용으로」라고 밝혔습니다. Cursor나 Claude Code로 고빈도 Agent 작업을 돌리며 API 비용이 치솟는 팀이라면, 본 리뷰가 핵심을 정리합니다. 공개 벤치마크 전체, 독립 테스트, 실제 요금 계산, 6단계 API Runbook을 포함합니다. Grok 4.5는 가장 정확한 코딩 모델은 아니지만, Agentic 워크플로에서는 시장에서 가장 비용 효율적인 선택지일 수 있습니다. 데이터 기준: 2026-07-10
Grok 4.5는 SpaceXAI의 프론티어 모델로 다음 용도에 최적화되어 있습니다.
본 모델은 Cursor와 공동 훈련되었습니다. SpaceX는 2026년 6월 Cursor 모회사 Anysphere를 인수했습니다. 수조 토큰 규모의 실제 개발자 상호작용 데이터가 훈련에 포함되었습니다.
| Spec | Detail |
|---|---|
| Architecture | Mixture of Experts (MoE) |
| Context window | 500,000 tokens |
| Reasoning modes | Low / Medium / High (default: High) |
| Speed | 80 TPS official, ~90 TPS measured |
| Training infra | Tens of thousands of NVIDIA GB300 GPUs (Memphis, TN) |
| Parameter count | Not disclosed |
Teams evaluating a switch typically hit these pain points:
Runaway API bills: Claude Fable 5 / Claude Code averages ~7.2M tokens per agentic task.
Benchmark vs reality gap: Provider harnesses inflate scores; neutral harnesses tell a different story.
First-shot accuracy vs retry cost: Precision work needs Opus reliability; high-volume loops need speed and unit economics.
Training contamination: CursorBench was pulled after Cursor codebase snapshots leaked into training data.
Regional limits: EU API expected mid-July; currently us-east-1 and us-west-2 only.
Sticker price is only half the story. Token efficiency compounds in agentic pipelines.
| Model | Input | Output |
|---|---|---|
| Grok 4.5 | $2.00 | $6.00 |
| Grok 4.5 (cached input) | $0.50 | — |
| Grok 4.5 Fast | $4.00 | $18.00 |
| Claude Opus 4.7 | $5.00 | $25.00 |
| GPT-5.6 Sol | $5.00 | $30.00 |
| GPT-5.6 Luna | $1.00 | $6.00 |
| Model / platform | Avg tokens per task | Est. cost per task |
|---|---|---|
| Grok 4.5 / Grok Build | ~1.9M | $2.49 |
| GPT-5.5 / Codex | ~6.2M | $5.07 |
| Claude Fable 5 / Claude Code | ~7.2M | $11.80 |
On SWE-Bench Pro, Grok 4.5 averaged 15,954 output tokens per task. Claude Opus 4.8 used 67,020 — a 4.2x efficiency gap. At 500 tasks/day, that is roughly $1,245/day vs $5,900/day.
| Benchmark | Grok 4.5 | Claude Fable 5 | Claude Opus 4.8 | GPT-5.5 |
|---|---|---|---|---|
| DeepSWE 1.0 (provider harness) | 62.0% | 66.1% | 55.75% | 64.31% |
| DeepSWE 1.1 (neutral harness) | 53% | 70% | 59% | 67% |
| Terminal Bench 2.1 | 83.3% | 84.3% | 78.9% | 83.4% |
| SWE-Bench Pro | 64.7% | 80.4% | 69.2% | 58.6% |
CursorBench pulled: A snapshot of Cursor's own codebase was accidentally included in Grok 4.5 training data — a clear contamination issue. Launch materials were revised accordingly.
| Benchmark | Grok 4.5 | Claude Fable 5 | Claude Opus 4.8 |
|---|---|---|---|
| AutomationBench-AA (657 enterprise workflows) | 51.4% | 48.6% | 48.5% |
| Snorkel GDPVal+ | 29% | — | 21% |
AutomationBench-AA covers 40 simulated enterprise apps including Gmail, Slack, Salesforce, and HubSpot. Grok 4.5 is the first model to complete more than half of all workflow objectives without violating business constraints. Snorkel shows wide leads in legal (40% vs 27–28%), education (58% vs 35–42%), and healthcare (35% vs 23–25%).
Artificial Analysis Intelligence Index: 54/100 — fourth overall, behind Fable 5 (60), Opus 4.8 (56), and GPT-5.5 (55). Still a 16-point jump over the previous Grok generation.
| Test | Result |
|---|---|
| 3D cube rendering (hardest) | Opus 4.8 and Fable 5 correct first try; Grok 4.5 missed cube on attempt one, fixed on retry; GPT-5.5 failed |
| Speed and cost | Grok 4.5 first token under 500ms, ~110 tokens/sec (~2x competitors); cheapest per run |
Bottom line: one-shot complex UI favors Claude. High-volume repetitive codegen favors Grok 4.5. See also our AI coding assistants comparison.
curl -s https://api.x.ai/v1/responses \
-H "Authorization: Bearer $XAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "grok-4.5",
"input": "Find and fix the bug: function median(a){a.sort();return a[a.length/2]}"
}'
Create a SpaceXAI Console account at console.x.ai and generate an API key.
Pick your path: direct API, Cursor model pool, or a gateway like OpenRouter.
Enable caching: set prompt_cache_key (Responses API) or x-grok-conv-id header — cached input drops to $0.50/M.
Turn on Context Compaction for long agent loops to cut token accumulation.
Switch in Cursor: select Grok 4.5 and A/B test during the doubled first-week quota.
Build a mixed-model router: routine subtasks to Grok 4.5; architecture and precision refactors to Claude Fable 5.
Production note: Independent evaluators report Grok 4.5 hallucination rate on the AA-Omniscience Index at 54% — significantly higher than prior models. Build robust output validation.
High-volume agentic pipelines — hundreds or thousands of coding tasks per day.
Terminal and tool-use workflows — leads or ties on Terminal Bench and AutomationBench.
Cursor-native teams — zero-friction integration.
Cost-sensitive startups — ~4x less per task at comparable intelligence.
Mixed-model strategies — Grok for routine work, Claude for the hard stuff.
| Scenario | Risk | Mitigation |
|---|---|---|
| SWE-Bench Pro precision work | Fable 5 leads by 15+ points | Keep Claude for finance/security-critical code |
| Hallucination-sensitive systems | 54% on AA-Omniscience | Validation layers and human review |
| EU teams | No EU API yet | Wait for mid-July or use approved gateways |
| CursorBench-related claims | Training contamination | Wait for independent retests |
Grok 4.5 delivers the best intelligence-per-dollar ratio for agentic coding work available today. At $2.49 per real-world task versus $11.80 for Claude Code, the cost argument is arithmetic — not marketing.
클라우드 API는 추론 비용을 낮추지만 iOS 서명 체인, Xcode 빌드, Metal 워크로드, 24/7 CI에는 실제 macOS 하드웨어가 필요합니다. 프로덕션 iOS CI/CD와 Agent 자동화에는 VpsMesh Mac Mini 클라우드 임대가 일반적으로 더 나은 선택입니다. Grok 4.5로 codegen, 클라우드 Mac으로 빌드·서명을 분리하세요.
Sources: SpaceXAI announcement · Cursor launch post · API docs · Snorkel AI
지표에 따라 다릅니다. Opus 4.8이 SWE-Bench Pro 정확도에서 앞섭니다(69.2% vs 64.7%). Grok 4.5는 속도, 토큰 효율, 작업당 비용에서 종종 4배 우위입니다. 24/7 빌드 노드는 Mac Mini M4 클라우드 임대 요금을 참고하세요.
Limited free usage in Grok Build and Cursor for a limited time. After that: $2/M input, $6/M output via API. Cursor plans include it in the model pool.
All Cursor plans. Open model picker and select Grok 4.5. First-week usage was doubled. For 24/7 build nodes, see Mac Mini M4 rental pricing.
500,000 tokens (500K) — enough for most large codebase tasks.
Cursor codebase snapshots were accidentally included in training data, contaminating that benchmark. Results were pulled; independent retesting is expected.
OpenRouter, Vercel AI Gateway, Cloudflare, Snowflake, Databricks Mosaic에서 이용 가능합니다. 설정은 고객 센터를 참고하세요.