Compare / Gemini 2.5 Flash Lite vs GLM 4.6

Gemini 2.5 Flash Lite vs GLM 4.6

Which is cheaper, which is more capable, and which does better at each kind of work, from 17 results on 3 sources that measured both models.

Gemini 2.5 Flash Lite
Google · profile
GLM 4.6
Z.ai · profile
Results compared
17
Shared sources
3

Gemini 2.5 Flash Lite or GLM 4.6? The short answer

  • Gemini 2.5 Flash Lite is cheaper: $0.18 against $0.88 per million tokens, 5.0 times less.
  • GLM 4.6 scores higher on the Artificial Analysis Intelligence Index: 18.5 against 8.5.
  • On our business benchmarks, Gemini 2.5 Flash Lite ranks higher for sticking to the facts.
  • On our business benchmarks, GLM 4.6 ranks higher for agents and tool use and reasoning and knowledge.

At a glance

Gemini 2.5 Flash LiteGLM 4.6
Price per million tokens$0.10 in · $0.40 out$0.50 in · $2.00 out
Blended (3 in : 1 out)$0.18$0.88
Cheapest host, blended$0.088 (Google AI Studio)$0.76 (Venice, FP4)
Intelligence Index8.518.5
Spring Prompt overall––
Output speed, tokens a second––
Context window1,048,576 tokens204,800 tokens
WeightsClosedOpen
Developer based inthe USChina

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.

Use caseGemini 2.5 Flash LiteGLM 4.6
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 91 of 161 52 of 161
Reasoning and knowledgeHard questions across science, maths and general knowledge 153 of 195 104 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality not measured 76 of 187
Sticking to the factsSummarising without inventing things, and factual answers 1 of 153 70 of 153

Every shared result

BenchmarkMetricGemini 2.5 Flash LiteGLM 4.6
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 8.5018.5
Artificial AnalysisreportedGPQA Diamond% of questions 62.5%78.0%
Artificial AnalysisreportedHumanity's Last Exam% of questions 6.8%14.5%
Artificial AnalysisreportedIFBench% of instructions 49.9%43.4%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 55.7%54.0%
Artificial AnalysisreportedTerminal-Bench Hard% of tasks 4.5%28.8%
Artificial AnalysisreportedΤ²-bench telecom% of tasks 19.0%76.9%
Berkeley Function Calling Leaderboard (BFCL) V4reportedIrrelevance detection% correct 93.3%85.0%
Berkeley Function Calling Leaderboard (BFCL) V4reportedMemory% correct 20.6%55.7%
Berkeley Function Calling Leaderboard (BFCL) V4reportedMulti-turn tasks% correct 13.5%68.0%
Berkeley Function Calling Leaderboard (BFCL) V4reportedOverall accuracy% correct 36.9%72.4%
Berkeley Function Calling Leaderboard (BFCL) V4reportedRelevance detection% correct 50.0%75.0%
Berkeley Function Calling Leaderboard (BFCL) V4reportedSingle-turn calls (curated)% correct 86.6%87.6%
Berkeley Function Calling Leaderboard (BFCL) V4reportedSingle-turn calls (user-contributed)% correct 65.8%80.9%
Berkeley Function Calling Leaderboard (BFCL) V4reportedWeb search% correct 21.0%77.5%
Vectara Hallucination LeaderboardreportedAnswer rate% of documents 99.5%94.5%
Vectara Hallucination LeaderboardreportedHallucination rate% of summaries 3.3%9.5%

Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.

Quick answers

Is Gemini 2.5 Flash Lite better than GLM 4.6?

It depends on the task. Among models available today, on our benchmarks and licensed sources, Gemini 2.5 Flash Lite ranks higher for sticking to the facts; GLM 4.6 ranks higher for agents and tool use and reasoning and knowledge.

Which is cheaper, Gemini 2.5 Flash Lite or GLM 4.6?

Gemini 2.5 Flash Lite costs $0.18 per million tokens (three input to one output), against $0.88 for GLM 4.6.

Run Gemini 2.5 Flash Lite and GLM 4.6 on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.