Model comparison
Celeris-1 vs Grok 4.3
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Celeris-1 unranked (Not scored); Grok 4.3 #31 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and Grok 4.3 share 0 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Celeris-1; 25 to Grok 4.3.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- Grok 4.3 only
- 25
- Comparable categories
- 1 / 8
Treat this as a split decision. Celeris-1 makes more sense if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Grok 4.3 is the better fit if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Celeris-1 and Grok 4.3 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Celeris-1 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $1.25 input / $2.50 output per 1M tokens for Grok 4.3. That is roughly 2.4x on output cost alone. Grok 4.3 is the reasoning model in the pair, while Celeris-1 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 8K for Celeris-1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Celeris-1 | Grok 4.3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Grok 4.3$1.25 input / $2.5 output | Grok 4.3 has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | Grok 4.3209 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Grok 4.312.36 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Grok 4.31M | Grok 4.3 lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Celeris-1 | Grok 4.3 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 97.7% | Not comparable |
| GDPval-AASource | — | 29.2% | Not comparable |
| AA Agentic IndexSource | — | 24.1% | Not comparable |
| APEX-Agents-AASource | — | 17.0% | Not comparable |
| GDPval-AASource | — | 1085 | Not comparable |
| Gert LabsSource | — | 43.86% | Not comparable |
| ResearchClawBenchSource | — | 12.4% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
KnowledgeCeleris-1 wins9 benchmarks
| Benchmark | Celeris-1 | Grok 4.3 | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 37.6% | Not comparable |
| GPQASource | — | 90.1% | Not comparable |
| HLESource | — | 35% | Not comparable |
| AA-Omniscience AccuracySource | — | 34.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 25.0% | Not comparable |
| AA-GPQA DiamondSource | — | 90.1% | Not comparable |
| AA-HLESource | — | 35.0% | Not comparable |
| AA-Omniscience IndexSource | — | 18.3% | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (2)
Which is better, Celeris-1 or Grok 4.3?
Celeris-1 and Grok 4.3 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Celeris-1 or Grok 4.3?
Celeris-1 has the edge for knowledge tasks in this comparison, averaging 75.9 versus 42.4. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
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