Model comparison
DeepSeek V3 vs Grok 4.3
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3 #147 (Supported); Grok 4.3 #31 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3 and Grok 4.3 share 17 comparable benchmark results. 3 of 8 categories are comparable. 5 results are unique to DeepSeek V3; 8 to Grok 4.3.
Updated July 23, 2026- Shared results
- 17
- DeepSeek V3 only
- 5
- Grok 4.3 only
- 8
- Comparable categories
- 3 / 8
Pick Grok 4.3 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Grok 4.3 is clearly ahead on the BenchAlign aggregate, 65.1 to 44.97. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4.3's sharpest advantage is in coding, where it averages 47.3 against 38.9. The single biggest benchmark swing on the page is GPQA, 59.1% to 90.1%. DeepSeek V3 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Grok 4.3 is also the more expensive model on tokens at $1.25 input / $2.50 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. That is roughly 2.3x on output cost alone. Grok 4.3 is the reasoning model in the pair, while DeepSeek V3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Grok 4.3 gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V3 | Δ | Grok 4.3 |
|---|---|---|---|
| Knowledge | DeepSeek V372.7 | Margin← 30.3 | Grok 4.342.4 |
| Coding | DeepSeek V338.9 | Margin→ 8.4 | Grok 4.347.3 |
| Inst. Following | DeepSeek V386.1 | Margin← 4.8 | Grok 4.381.3 |
| Math | DeepSeek V31.7 | MarginNo overlap | Grok 4.3Not measured |
| Multimodal | DeepSeek V3Not measured | MarginNo overlap | Grok 4.378.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 59.1%B 90.1%Winner: Grok 4.3Δ 31GPQA: DeepSeek V3 scored 59.1%; Grok 4.3 scored 90.1%. Grok 4.3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3 | Grok 4.3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3$0.27 input / $1.1 output | Grok 4.3$1.25 input / $2.5 output | DeepSeek V3 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3Not available | Grok 4.3209 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3Not available | Grok 4.312.36 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3128K | Grok 4.31M | Grok 4.3 lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek V3 | Grok 4.3 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.6% | 24.1% | Grok 4.3 leads |
| τ²-bench resultsSource | 22.8% | 97.7% | Grok 4.3 leads |
| GDPval-AASource | 0.0% | 29.2% | Grok 4.3 leads |
| GDPval-AASource | 217 | 1085 | Grok 4.3 leads |
| APEX-Agents-AASource | — | 17.0% | Not comparable |
| Gert LabsSource | — | 43.86% | Not comparable |
| ResearchClawBenchSource | — | 12.4% | Not comparable |
CodingGrok 4.3 wins5 benchmarks
Reasoning2 benchmarks
KnowledgeDeepSeek V3 wins9 benchmarks
| Benchmark | DeepSeek V3 | Grok 4.3 | Result |
|---|---|---|---|
| GPQASource | 59.1% | 90.1% | Grok 4.3 leads |
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 14.2% | 37.6% | Grok 4.3 leads |
| AA-GPQA DiamondSource | 55.7% | 90.1% | Grok 4.3 leads |
| AA-HLESource | 3.6% | 35.0% | Grok 4.3 leads |
| AA-Omniscience IndexSource | -41.3% | 18.3% | Grok 4.3 leads |
| AA-Omniscience AccuracySource | 25.4% | 34.6% | Grok 4.3 leads |
| AA-Omniscience Hallucination RateSource | 89.4% | 25.0% | Grok 4.3 leads |
| HLESource | — | 35% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek V3 | Grok 4.3 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.724% | — | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (4)
Which is better, DeepSeek V3 or Grok 4.3?
Grok 4.3 is ahead on BenchLM's BenchAlign leaderboard, 65.1 to 44.97. The biggest single separator in this matchup is GPQA, where the scores are 59.1% and 90.1%.
Which is better for knowledge tasks, DeepSeek V3 or Grok 4.3?
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 72.7 versus 42.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V3 or Grok 4.3?
Grok 4.3 has the edge for coding in this comparison, averaging 47.3 versus 38.9. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for instruction following, DeepSeek V3 or Grok 4.3?
DeepSeek V3 has the edge for instruction following in this comparison, averaging 86.1 versus 81.3. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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