Data as of October 29, 2026 · How the score is built
Released Apr 30, 20261M context
Grok 4.3
Decision readingGrok 4.3 scores 52.7 out of 100 and ranks #94 of 216. This profile shows 9 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #1. API pricing is $1.25 input and $2.5 output per million tokens, with cached input at $0.2.
Released Apr 30, 2026 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
52.7/100
field median 50.5#94 of 216 ranked models
Public
#94of 216
Verified #46 of 77
Price
$1.25input / $2.50 output
input median $0.75cached $0.20 · blended $1.88
Speed
105tok/s
field median 92 tok/sFirst token 24.18 s
Context
1Mtokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Instruction Following ranks #1. A well-rounded choice across a range of tasks.
Validate before choosing
9 published rows leave some tracked benchmark slots empty. Coding is its lowest eligible category at #116.
Source-linked · 9 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #113 of 135Percentile 16thWeight 22%3 benchmarksVerified | 28.4 | 3 benchmarks | Verified | |||
| CodingRank #116 of 156Percentile 26thWeight 20%2 benchmarksVerified | 26.6 | 2 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalRank #23 of 58Percentile 61stWeight 12%Not listedUnlisted sources | 79.0 | Not listed | Unlisted sources | |||
| KnowledgeRank #64 of 179Percentile 65thWeight 12%2 benchmarksVerified | 53.8 | 2 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #1 of 157Percentile 100thWeight 5%Not listedUnlisted sources | 97.1 | Not listed | Unlisted sources | |||
| MathRank Not rankedWeight 5%2 benchmarksVerified | 51.4 | 2 benchmarks | Verified |
9 of 782 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic3/3 verified
- Coding2/2 verified
- ReasoningNot measured
- MultimodalNot measured
- Knowledge2/2 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- Math2/2 verified
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Grok 4.3 category percentile values
- Agentic16th percentile
- Coding26th percentile
- ReasoningNot eligible
- Multimodal61st percentile
- Knowledge65th percentile
- MultilingualNot eligible
- Instruction following100th percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#113/135
- Coding#116/156
- ReasoningNot ranked
- Multimodal#23/58
- Knowledge#64/179
- MultilingualNot ranked
- Inst. Following#1/157
- MathNot ranked
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score84.5% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap6 behind | Weight8% ref. weight | |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score71.4% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap25.6 behind | WeightDisplay only | Verified |
Agentic3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score41.9% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap45.4 behind | Weight4% ref. weight | |
| Gert LabsGert Labs Composite Game Benchmark | Score43.86% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap29.1 behind | WeightDisplay only | Benchmark exact |
| ResearchClawBench | Score12.4% | Versus best verified row Best verified: Claude Opus 4.8 · 21.1% | Gap8.7 behind | WeightDisplay only | Benchmark exact |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score85.8% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap6.6 behind | Weight6% ref. weight | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score91.4% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap4.1 behind | Weight2% ref. weight |
Math2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score42.807% | Versus best verified row Best verified: GPT-6 Astra · 93.684% | Gap50.9 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score14.634% | Versus best verified row Best verified: GPT-6.1 Sol · 100.000% | Gap85.4 behind | WeightWeighted 10% | Benchmark exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 9 rowsWhat it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Grok 4.3 · 52.6 score · $1.88 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 1M
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Superseded
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.20 per million cached input tokens
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Grok 4.3 ranks #94 of 216 on the public leaderboard with a score of 52.65/100. Its source-verified position is #46 of 77.
Grok 4.3 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
9 of 782 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #1, while its lowest eligible position is Coding at #116. a well-rounded choice across a range of tasks.
Last updated October 29, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Where to run Grok 4.3 by API
OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.
| Host | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| OpenRouter | $1.25 | $2.50 | $0.20 | 1M |
Questions
How does Grok 4.3 perform overall in AI benchmarks?
Grok 4.3 ranks #94 out of 216 models on the public BenchAlign leaderboard, with a score of 52.65/100. Its evidence status is Supported, and this profile shows 9 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Grok 4.3 good for knowledge and understanding?
Grok 4.3 ranks #64 out of 179 eligible models for knowledge and understanding, with a public category score of 53.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Grok 4.3 good for coding and programming?
Grok 4.3 ranks #116 out of 156 eligible models for coding and programming, with a public category score of 26.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Grok 4.3 good for mathematics?
Grok 4.3 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Grok 4.3 good for agentic tool use and computer tasks?
Grok 4.3 ranks #113 out of 135 eligible models for agentic tool use and computer tasks, with a public category score of 28.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Does Grok 4.3 have full benchmark coverage on BenchLM?
No. Grok 4.3 currently has 32 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Grok 4.3?
Grok 4.3 has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.