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Head to head

Gemini 4 Carbon vs Jamba Large 1.7.

Verdict by category, tale of the tape, shared benchmarks only, and cost at three workloads — all from the tracked data.

Google DeepMind
VS

Verdict by category

CategoryGemini 4 CarbonJamba Large 1.7Winner
League Score—0.0—
Coding (SWE-bench %)———
Reasoning (GPQA %)———
Context (tokens)1000000256000Gemini 4 Carbon
Speed (tok/s)———

Tale of the tape

SpecGemini 4 CarbonJamba Large 1.7
MakerGoogle DeepMindAI21 Labs
ReleasedOct 28, 2026Jan 15, 2026
League Score—0
Context1,000,000 tokens256,000 tokens
Max output——
$/1M input$2.00—
$/1M output$10.00—
WeightsClosedOpen
Speed——

Head-to-head benchmarks (shared only)

BenchmarkGemini 4 CarbonJamba Large 1.7
No shared benchmark measurements yet — shown as not measured, never interpolated.

Cost at three workloads

WorkloadGemini 4 CarbonJamba Large 1.7
Light — 1M in / 250K out$4.50—
Standard — 10M in / 2.5M out$45.00—
Long-context — 50M in / 5M out$150.00—

The pick

Pick Gemini 4 Carbon if you need the bigger context window.

Pick Jamba Large 1.7 if you want downloadable weights / self-hosting.

All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.

Frequently asked questions

Which is cheaper, Gemini 4 Carbon or Jamba Large 1.7?

Only Gemini 4 Carbon has published API pricing in our database ($4.00 blended per 1M tokens); Jamba Large 1.7 has no tracked API price, so a like-for-like cost verdict is not possible.

Which has the bigger context window, Gemini 4 Carbon or Jamba Large 1.7?

Gemini 4 Carbon, with 1M of context against 256K for Jamba Large 1.7.

Are Gemini 4 Carbon and Jamba Large 1.7 open source?

Gemini 4 Carbon is closed weights — API access only; Jamba Large 1.7 is open weights — it can be downloaded and self-hosted.