Compare / Spark-X2.6 4B vs Spark-X2.5 4B

Spark-X2.6 4B vs Spark-X2.5 4B

Updated November 2026

Verdict

Spark-X2.6 4B scores higher on the Small LM Index: 67.5 vs 65.5, although their likely ranges overlap, so the lead is not certain. On the 11 benchmarks both labs report, Spark-X2.6 4B wins 11 and Spark-X2.5 4B wins 0. Both need about 3.4 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.

Pick Spark-X2.6 4B if…

  • you want the strongest model overall
  • you mostly write code
  • you need math and reasoning
  • you need precise instruction following
  • you build agents that call tools

Pick Spark-X2.5 4B if…

No clear advantage in the data we have.

Specifications

Spark-X2.6 4BSpark-X2.5 4B
Small LM Index67.5 (likely 65–70)65.5 (likely 63–68)
LabSparkLLM (XHToken) · ChinaSparkLLM (XHToken) · China
Released2026-10-192026-08-24
Parameters4.1B (dense)4.1B (dense)
Memory at 4-bit~3.4 GB~3.4 GB
Context window1M tokens1M tokens
Inputtexttext
ReasoningHybrid (thinking on/off)Hybrid (thinking on/off)
LicenseApache-2.0Apache-2.0
API price / 1M tokensSelf-host onlySelf-host only
Hugging Face downloads (30 days)18.9K30.3K

Benchmarks

Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.

BenchmarkSpark-X2.6 4BSpark-X2.5 4B
GPQA Diamond Knowledge77.173.7
Humanity's Last Exam Reasoning17.912.3
AIME Math91.290.7
SWE-bench Verified Coding62.841.6
τ²-Bench Agentic86.975.1
IFBench Instruction following75.875.0
IFEval Instruction following93.693.0
BFCL Agentic71.865.1
HMMT Math81.381.2
AA-LCR Long context67.356.3
SciCode Coding36.834.7

Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.

Questions

Which is better, Spark-X2.6 4B or Spark-X2.5 4B?

Spark-X2.6 4B scores higher on the Small LM Index: 67.5 vs 65.5, although their likely ranges overlap, so the lead is not certain. On the 11 benchmarks both labs report, Spark-X2.6 4B wins 11 and Spark-X2.5 4B wins 0.

Which is cheaper to run?

Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 3.4 GB of memory at 4-bit quantization.

Which has the longer context window?

Both have a 1M-token context window.

Can I use Spark-X2.6 4B and Spark-X2.5 4B commercially?

Both are released under the Apache-2.0 license. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.

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