vs
2:0
overall capability wins (0 ties across 2 scored). Grok 4.3 leads overall.
- Pricing0:3
- Speed0:2
- Specs2:0
Verdict
Grok 4.3 offers ~3.9x larger context (1M vs 256K); Grok 4.3 allows ~2.0x more max output (128K vs 64K); Grok Build 0.1 is ~1.3x cheaper on a blended token basis than Grok 4.3.
- Grok 4.3 offers ~3.9x larger context (1M vs 256K)
- Grok 4.3 allows ~2.0x more max output (128K vs 64K)
- Grok Build 0.1 is ~1.3x cheaper on a blended token basis than Grok 4.3
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Grok 4.3
- $1.88
- Grok Build 0.1
- $1.50
Grok Build 0.1 is about 1.3x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
xAI
xAI
Family
Grok
Grok
License
Proprietary
Proprietary
Open weights
No
No
Release
Jun 15, 2026
Jul 1, 2026
Knowledge cutoff
2026-02-01
-
API / provider
xAI
xAI
Modalities
text, image → text
text → text
Specs
Context window
1M
256K
Max output
128K
64K
Parameters
—
—
Pricing
Input $/1M
$1.25
$1
Output $/1M
$2.50
$2
Blended $/1M (3∶1)
$1.56
$1.25
Speed
tok/s
110
120
TTFT (s)
0.3
0.28
Reasoning
MMLU-Pro
—
—
GPQA Diamond
90.1
—
Humanity's Last Exam
37.2
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
34.8
—
AA-LCR v1.1
73.0
—
CritPt
8.0
—
MMMU-Pro
78.1
—
IFBench
81.3
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
39.7
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
48.3
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,357
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
1,443
—
| Metric | Grok 4.3 | Grok Build 0.1 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | xAI | xAI | — |
| Family | Grok | Grok | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Jun 15, 2026 | Jul 1, 2026 | — |
| Knowledge cutoff | 2026-02-01 | - | — |
| API / provider | xAI | xAI | — |
| Modalities | text, image → text | text → text | — |
| Specs | |||
| Context window | 1M | 256K | A +744K |
| Max output | 128K | 64K | A +64K |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $1.25 | $1 | B +$0.25 |
| Output $/1M | $2.50 | $2 | B +$0.50 |
| Blended $/1M (3∶1) | $1.56 | $1.25 | B +$0.31 |
| Speed | |||
| tok/s | 110 | 120 | B +10 |
| TTFT (s) | 0.3 | 0.28 | B +0.02 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | 90.1 | — | — |
| Humanity's Last Exam | 37.2 | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | 34.8 | — | — |
| AA-LCR v1.1 | 73.0 | — | — |
| CritPt | 8.0 | — | — |
| MMMU-Pro | 78.1 | — | — |
| IFBench | 81.3 | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | 39.7 | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | 48.3 | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,357 | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,443 | — | — |
Grok 4.3
- Context
- 1M / 128K out
- Parameters
- —
- Price
- $1.25 / $2.50
- Speed
- 110 tok/s · 0.3s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Fast tool-calling Grok with 1M context at $1.25/$2.50 (doubles above 200k prompt tokens); aliased as grok-latest.
Grok Build 0.1
- Context
- 256K / 64K out
- Parameters
- —
- Price
- $1 / $2
- Speed
- 120 tok/s · 0.28s TTFT
- Modalities
- text → text
- License
- Proprietary
xAI coding/build-oriented SKU at $1/$2 with 256k context (long-context rates above 200k prompts).
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.