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Head to head

Inkling 2 Small 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.

Thinking Machines Lab
VS

Verdict by category

CategoryInkling 2 SmallJamba Large 1.7Winner
League Score—0.0—
Coding (SWE-bench %)———
Reasoning (GPQA %)———
Context (tokens)262144256000Inkling 2 Small
Speed (tok/s)———

Tale of the tape

SpecInkling 2 SmallJamba Large 1.7
MakerThinking Machines LabAI21 Labs
ReleasedNov 5, 2026Jan 15, 2026
League Score—0
Context262,144 tokens256,000 tokens
Max output——
$/1M input——
$/1M output——
WeightsClosedOpen
Speed——

Head-to-head benchmarks (shared only)

BenchmarkInkling 2 SmallJamba Large 1.7
No shared benchmark measurements yet — shown as not measured, never interpolated.

Cost at three workloads

WorkloadInkling 2 SmallJamba Large 1.7
Light — 1M in / 250K out——
Standard — 10M in / 2.5M out——
Long-context — 50M in / 5M out——

The pick

Pick Inkling 2 Small 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 has the bigger context window, Inkling 2 Small or Jamba Large 1.7?

Inkling 2 Small, with 262.1K of context against 256K for Jamba Large 1.7.

Are Inkling 2 Small and Jamba Large 1.7 open source?

Inkling 2 Small is closed weights — API access only; Jamba Large 1.7 is open weights — it can be downloaded and self-hosted.