vs
2:0
overall capability wins (0 ties across 2 scored). Cursor Grok 4.5 leads overall.
- Pricing3:0
- Speed2:0
- Specs2:0
Verdict
Cursor Grok 4.5 offers ~2.0x larger context (500K vs 256K); Cursor Grok 4.5 allows ~2.0x more max output (128K vs 64K); Cursor Grok 4.5 is ~2.0x cheaper on a blended token basis than Grok 4.1.
- Cursor Grok 4.5 offers ~2.0x larger context (500K vs 256K)
- Cursor Grok 4.5 allows ~2.0x more max output (128K vs 64K)
- Cursor Grok 4.5 is ~2.0x cheaper on a blended token basis than Grok 4.1
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Cursor Grok 4.5
- $3.50
- Grok 4.1
- $6.75
Cursor Grok 4.5 is about 1.9x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Cursor
xAI
Family
Grok
Grok
License
Proprietary
Proprietary
Open weights
No
No
Release
Jul 9, 2026
Mar 10, 2026
Knowledge cutoff
-
-
API / provider
Cursor
xAI
Modalities
text, image → text
text, image → text
Specs
Context window
500K
256K
Max output
128K
64K
Parameters
—
—
Pricing
Input $/1M
$2
$3
Output $/1M
$6
$15
Blended $/1M (3∶1)
$3
$6
Speed
tok/s
95
75
TTFT (s)
0.4
0.45
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
66.7
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,459
| Metric | Cursor Grok 4.5 | Grok 4.1 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Cursor | xAI | — |
| Family | Grok | Grok | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Jul 9, 2026 | Mar 10, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Cursor | xAI | — |
| Modalities | text, image → text | text, image → text | — |
| Specs | |||
| Context window | 500K | 256K | A +244K |
| Max output | 128K | 64K | A +64K |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $2 | $3 | A +$1 |
| Output $/1M | $6 | $15 | A +$9 |
| Blended $/1M (3∶1) | $3 | $6 | A +$3 |
| Speed | |||
| tok/s | 95 | 75 | A +20 |
| TTFT (s) | 0.4 | 0.45 | A +0.05 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | 66.7 | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,459 | — |
Cursor Grok 4.5
- Context
- 500K / 128K out
- Parameters
- —
- Price
- $2 / $6
- Speed
- 95 tok/s · 0.4s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Cursor's flagship - jointly trained with SpaceXAI on Cursor agent data; effort levels (low/medium/high) for hard long-running work. Distinct from the public xAI Grok 4.5 API SKU.
Grok 4.1
- Context
- 256K / 64K out
- Parameters
- —
- Price
- $3 / $15
- Speed
- 75 tok/s · 0.45s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Earlier Grok 4.1 release; still available alongside newer 4.20 / 4.5 SKUs.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.