xAI · Released Jul 8, 2026
Grok 4.5
Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.
- Top 16%GPQA Diamond
- Top 18%GBAEval
- Top 26%SimpleBench
- Top 27%SciCode
- Released
- Jul 8 2026
- Context window
- 500K 450K out
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $6.00
Where to run it
Providers
Cheapest: xAI at $2.00 / $6.00 per 1M input / output tokens — 50% less than the priciest option.
| Provider | Input | Output | Cache read | Context | Max output | Uptime | vs. best |
|---|---|---|---|---|---|---|---|
| xAIzdr | $2.00 | $6.00 | $0.30 | 500K | 450K | 98.3%24h | Cheapest |
| xAI | $2.00 | $6.00 | $0.30 | 500K | 450K | 97.2%24h | Cheapest |
| xAIzdr/priority | $4.00 | $12.00 | $0.60 | 500K | 450K | — | +100% |
| xAIpriority | $4.00 | $12.00 | $0.60 | 500K | 450K | — | +100% |
Value
Price vs. performance
Grok 4.5 Other xAI Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.
Benchmarks
23 benchmark scores
| Benchmark | Score | Rank | Leader |
|---|---|---|---|
| DeepSWESoftware engineering · Original long-horizon tasks across active open-source repos | 53.8% | #18of 26 | GPT-6 Astra74.1% |
| FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues | 42.4% | #21of 41 | Claude Opus 5.554.6% |
| GBAEvalSoftware engineering · Build a Game Boy Advance emulator from scratch | 65.4% | #4of 23 | Claude Opus 579.6% |
| SciCodeSoftware engineering · Research-coding problems from the natural sciences | 55.0% | #25of 93 | Claude Opus 5.566.9% |
| APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law | 56.2% | #16of 51 | Gemini 4 Argon82.4% |
| Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) | $3,887 | #35of 61 | GPT-6 Astra$15,515 |
| PostTrainBenchAgents & computer use · Post-train small models under a fixed compute budget | 23.4% | #9of 11 | Claude Fable 541.8% |
| GDP.pdfWriting & content · Answer questions about real professional PDFs | 14.0% | #31of 38 | GPT-6.1 Sol35.0% |
| SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions | 48.3% | #28of 66 | Gemini 4 Argon76.0% |
| WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) | 1555 | #34of 88 | Claude Opus 5.51820 |
| Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans | 27.3% | #20of 32 | Gemini 4 Argon54.4% |
| Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds | 22.5% | #30of 34 | Claude Opus 5.583.3% |
| GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions | 93.4% | #14of 92 | Gemini 4 Argon96.4% |
| ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles | 52.6% | #40of 63 | GPT-6 Astra95.0% |
| ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples | 87.2% | #38of 63 | Gemini 4 Argon98.5% |
| SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people | 70.0% | #11of 43 | Claude Fable 581.9% |
| CritPtReasoning & knowledge · Open-ended, research-level physics problems | 15.4% | #37of 96 | GPT-5.6 Sol32.3% |
| Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles | 35.0% | #43of 70 | GPT-6 Astra76.0% |
| LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts | 45.2% | #39of 96 | Claude Sonnet 5.568.3% |
| FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) | 57.2% | #44of 72 | GPT-6.1 Sol93.7% |
| FrontierMath Tier 4Maths · Exceptionally hard research-level problems | 24.4% | #41of 62 | GPT-6.1 Sol100.0% |
| ProofBenchMaths · Graduate maths proofs verified in Lean 4 | 31.0% | #44of 70 | Claude Sonnet 5.5100.0% |
| OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 | 97.8% | #27of 90 | Gemini 4 Argon100.0% |
Specs
Details
- Model ID
x-ai/grok-4.5- Developer
- xAI
- Release date
- Jul 8, 2026 ·
- Context window
- 500,000 tokens
- Max output
- 450,000 tokens
- API price
- $2.00 / $6.00 per 1M input / output tokens
- Providers
- 1
- Input types
- text, image, file
- Reasoning
- Yes
- Tool calling
- Yes
- Open weights
- No
- Free tier
- No
Release date, prices and providers from OpenRouter's catalog; buying directly from a provider can cost a little differently. Uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.