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Grok 4.20 vs Ling 2.6 Flash

Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Grok 4.20

77

VS

Ling 2.6 Flash

44

1 categoriesvs0 categories

Pick Grok 4.20 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Category Radar

Head-to-Head by Category

Category Breakdown

Coding

Grok 4.20
61vs27

+34.0 difference

Operational Comparison

Grok 4.20

Ling 2.6 Flash

Price (per 1M tokens)

$2 / $6

$0.1 / $0.3

Speed

233 t/s

209.5 t/s

Latency (TTFT)

10.33s

1.07s

Context Window

2M

262K

Quick Verdict

Pick Grok 4.20 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Grok 4.20 is clearly ahead on the provisional aggregate, 77 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Grok 4.20's sharpest advantage is in coding, where it averages 61 against 27.

Grok 4.20 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.10 input / $0.30 output per 1M tokens for Ling 2.6 Flash. That is roughly 20.0x on output cost alone. Grok 4.20 is the reasoning model in the pair, while Ling 2.6 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Grok 4.20 gives you the larger context window at 2M, compared with 262K for Ling 2.6 Flash.

Benchmark Deep Dive

Frequently Asked Questions (2)

Which is better, Grok 4.20 or Ling 2.6 Flash?

Grok 4.20 is ahead on BenchLM's provisional leaderboard, 77 to 44.

Which is better for coding, Grok 4.20 or Ling 2.6 Flash?

Grok 4.20 has the edge for coding in this comparison, averaging 61 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.

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Last updated: April 22, 2026

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