Compare / head-to-head
Gemini 4 Argonvs
Kimi K2 Thinking
Gemini 4 Argon and Kimi K2 Thinking do not yet share a public benchmark, so quality cannot be compared apples-to-apples.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
—
list price, input + output
Larger context
—
unknown
Providers
2 providers
Google · Moonshot AI
Gemini 4 Argon
Google · released 2026-09-30
textvisionvideo
Kimi K2 Thinking
Moonshot AI · released 2025-11-06
text
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 17 · 9 core
Quality
Benchmark matrix
0 shared · 12 only Gemini 4 Argon · 17 only Kimi K2 Thinking| Benchmark | Gemini 4 Argon | Kimi K2 Thinking | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only Gemini 4 Argon reports · 12 | ||||
| LMArena Elo | 1525.2 ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 82.2% ↗ | not reported | — | — |
| AutomationBench | 51.3% ↗ | not reported | — | — |
| CWE-bench v1 | 68% ↗ | not reported | — | — |
| DeepSWE v1.1 | 77.9% ↗ | not reported | — | — |
| FrontierSWE V2 (Proximal Labs) | 55% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.0757 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1679.5 ↗ | not reported | — | — |
| LVBench | 91.7% ↗ | not reported | — | — |
| SAGE (Vals AI) | 53.6% ↗ | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 57.6% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 13718.16 ↗ | not reported | — | — |
| Only Kimi K2 Thinking reports · 17 | ||||
| AIME25 (no tools) | not reported | 94.5% ↗ | — | — |
| BrowseComp (w/ tools) | not reported | 60.2% ↗ | — | — |
| BrowseComp-ZH (w/ tools) | not reported | 62.3% ↗ | — | — |
| GPQA (no tools) | not reported | 84.5% ↗ | — | — |
| HLE (Text-only) (no tools) | not reported | 23.9% ↗ | — | — |
| HLE (Text-only) (w/ tools) | not reported | 44.9% ↗ | — | — |
| HMMT25 (no tools) | not reported | 89.4% ↗ | — | — |
| IMO-AnswerBench (no tools) | not reported | 78.6% ↗ | — | — |
| LiveCodeBenchV6 (no tools) | not reported | 83.1% ↗ | — | — |
| MMLU-Pro (no tools) | not reported | 84.6% ↗ | — | — |
| Multi-SWE-bench (w/ tools) | not reported | 41.9% ↗ | — | — |
| SciCode (no tools) | not reported | 44.8% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 39.6% ↗ | — | — |
| SWE-bench Multilingual (w/ tools) | not reported | 61.1% ↗ | — | — |
| SWE-bench Verified (w/ tools) | not reported | 71.3% ↗ | — | — |
| Terminal-Bench (w/ simulated tools (JSON)) | not reported | 47.1% ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 42.8% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Gemini 4 Argon minus Kimi K2 Thinking in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Gemini 4 Argon | Kimi K2 Thinking | Edge |
|---|---|---|---|
| Context window | — | 256K tokens | — |
| Max output | 1M tokens | — | — |
| Input price / 1M | $2 ↗ | — | — |
| Output price / 1M | $10 ↗ | — | — |
| Cached input / 1M | $0.1 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $12 | — | — |
| Modalities | text · vision · video | text | Gemini 4 Argon |
| Released | 2026-09-30 | 2025-11-06 | — |
| Cited benchmark scores | 12 | 17 | — |
Reliability
Provider status
Live from /statusMore matchups
Gemini 4 Argon vs …
Models sharing the most benchmarksMore matchups
Kimi K2 Thinking vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Gemini 4 Argon and Kimi K2 Thinking on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.