Compare / head-to-head
Gemini 4 Argonvs
Jamba Large 1.7
Gemini 4 Argon and Jamba Large 1.7 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Jamba Large 1.7 is 1.2x cheaper per token.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
Jamba Large 1.7
1.2x cheaper, input + output
Larger context
—
unknown
Providers
2 providers
Google · AI21 Labs
Gemini 4 Argon
Google · released 2026-09-30
textvisionvideo
Jamba Large 1.7
AI21 Labs · released 2025-07-03
text
Quality
Benchmark matrix
0 shared · 12 only Gemini 4 Argon · 2 only Jamba Large 1.7| Benchmark | Gemini 4 Argon | Jamba Large 1.7 | 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 Jamba Large 1.7 reports · 2 | ||||
| FACTS | not reported | 83.2% ↗ | — | — |
| IFEval | not reported | 84% ↗ | — | — |
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 Jamba Large 1.7 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 | Jamba Large 1.7 | Edge |
|---|---|---|---|
| Context window | — | 256K tokens | — |
| Max output | 1M tokens | 4K tokens | Gemini 4 Argon |
| Input price / 1M | $2 ↗ | $2 ↗ | Tie |
| Output price / 1M | $10 ↗ | $8 ↗ | Jamba Large 1.7 |
| Cached input / 1M | $0.1 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $12 | $10 | Jamba Large 1.7 |
| Modalities | text · vision · video | text | Gemini 4 Argon |
| Released | 2026-09-30 | 2025-07-03 | — |
| Cited benchmark scores | 12 | 2 | — |
Reliability
Provider status
Live from /statusMore matchups
Gemini 4 Argon vs …
Models sharing the most benchmarksMore matchups
Jamba Large 1.7 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 Jamba Large 1.7 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.