Model comparison
Celeris-1 vs Kimi K2
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); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Celeris-1 and Kimi K2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Celeris-1; 14 to Kimi K2.
Updated July 24, 2026- Shared results
- 0
- Celeris-1 only
- 1
- Kimi K2 only
- 14
- Comparable categories
- 0 / 8
Benchmark data for Celeris-1 and Kimi K2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Celeris-1 is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. Kimi K2 has the larger context window at 128K, 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 | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Celeris-1$2 input / $6 output | Kimi K2$0.6 input / $2.5 output | Kimi K2 has the lower combined listed price. |
| Generation speedtokens per second | Celeris-1Not available | Kimi K243 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Celeris-1Not available | Kimi K21.51 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Celeris-18K | Kimi K2128K | Kimi K2 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Celeris-1 | Kimi K2 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 61.1% | Not comparable |
Coding1 benchmarks
| Benchmark | Celeris-1 | Kimi K2 | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 34.5% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Celeris-1 | Kimi K2 | Result |
|---|---|---|---|
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 19.4% | Not comparable |
| AA-GPQA DiamondSource | — | 76.6% | Not comparable |
| AA-HLESource | — | 7.0% | Not comparable |
| AA-Omniscience IndexSource | — | -27.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 26.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 74.2% | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Celeris-1 | Kimi K2 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1080 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Celeris-1 | Kimi K2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 41.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Celeris-1 and Kimi K2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Celeris-1 and Kimi K2 today?
Celeris-1: $2.00 input / $6.00 output per 1M tokens Kimi K2: $0.60 input / $2.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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