Cheaper alternatives to GLM 5V Turbo

Z.ai LMArena 1436.8 $1.90/M on a balanced workload prices as of 2026-08-28

2 models are both better and cheaper, giving up nothing.

Of the 133 models carrying both an independent score and a published price at the same delivery mode, 18 score at least as high as GLM 5V Turbo and cost no more under at least one workload. 2 match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. 16 do not, and every row names what it drops.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page is built from that comparison and nothing else. When no model is both better and cheaper than GLM 5V Turbo, it is not generated.

Where it holds

WorkloadGLM 5V Turbo $/MBetter and cheaperWith a trade
Balanced$1.90115
Summarise$1.07115
Chat$2.03115
Code gen$2.80116
Agentic$1.05215

Workload mixes are defined on the methodology page. Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

What you would be replacing

Intelligence1436.8
Context window203K
Max output131K
Input modesimage, text, video
Tool useyes
Extended reasoningyes

A replacement has to clear every line above, not just the score. Full record for GLM 5V Turbo.

Better and cheaper, nothing given up 2

Each of these matches or beats GLM 5V Turbo on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

#ModelIntelligence$/MHolds under
1Qwen3.8 27B Qwen1440.8 tie$0.956
  • Balanced −50%
  • Summarise −59%
  • Chat −42%
  • Code gen −40%
  • Agentic −48%
2Muse Spark 1.1 Meta1478.3 +41.5$1.05 agentic
  • Agentic under 1% less

Cheaper and higher-scoring, but you give something up 16

These score at least as high and cost no more on the two plotted axes, and lose something that is not on them. Read the last column before switching.

ModelIntelligence$/MHolds underWhat you give up
Gemini 3.7 Flash Google1490.2 +53.4$0.750
  • Balanced −61%
  • Summarise −67%
  • Chat −57%
  • Code gen −55%
  • Agentic −62%
  • 131K → 66K max output
Gemini 3.6 Flash Google1476.5 +39.7$1.50
  • Balanced −21%
  • Summarise −34%
  • Chat −14%
  • Code gen −11%
  • Agentic −24%
  • 131K → 66K max output
MiMo-V2.5-Pro Xiaomi1465 +28.2$0.544
  • Balanced −71%
  • Summarise −69%
  • Chat −76%
  • Code gen −76%
  • Agentic −77%
  • no image, video input
GLM 5.2 Z.ai1465.4 +28.6$1.83
  • Balanced −4%
  • Summarise −2%
  • Chat −6%
  • Code gen −6%
  • Agentic −5%
  • no image, video input
Qwen3.7 Plus Qwen1456.2 +19.4$0.560
  • Balanced −71%
  • Summarise −72%
  • Chat −69%
  • Code gen −69%
  • Agentic −70%
  • no video input
Kimi K2.6 Moonshot AI1455 +18.2$1.71
  • Balanced −10%
  • Summarise −18%
  • Chat −5%
  • Code gen −3%
  • Agentic −11%
  • no video input
Gemma 4 31B Google1441.7 tie$0.152
  • Balanced −92%
  • Summarise −91%
  • Chat −91%
  • Code gen −92%
  • Agentic −90%
  • 131K → 16K max output
Kimi K2.5 Moonshot AI1445.2 tie$0.900
  • Balanced −53%
  • Summarise −60%
  • Chat −48%
  • Code gen −47%
  • Agentic −53%
  • no video input
Hy3 Tencent1441.2 tie$0.144
  • Balanced −92%
  • Summarise −93%
  • Chat −92%
  • Code gen −92%
  • Agentic −92%
  • 131K → 128K max output
  • no image, video input
GLM 5 Z.ai1445.2 tie$0.930
  • Balanced −51%
  • Summarise −50%
  • Chat −52%
  • Code gen −52%
  • Agentic −51%
  • 131K → 128K max output
  • no image, video input
GLM 4.6 Z.ai1439.8 tie$0.875
  • Balanced −54%
  • Summarise −57%
  • Chat −52%
  • Code gen −51%
  • Agentic −54%
  • no image, video input
Qwen3.5 397B A17B Qwen1438.3 tie$0.877
  • Balanced −54%
  • Summarise −54%
  • Chat −42%
  • Code gen −44%
  • Agentic −35%
  • 131K → 66K max output
DeepSeek V4 Pro 0423 DeepSeek1439.2 tie$1.09
  • Balanced −43%
  • Summarise −36%
  • Chat −52%
  • Code gen −53%
  • Agentic −50%
  • no image, video input
Qwen3.6 Plus Qwen1436.8 tie$0.731
  • Balanced −62%
  • Summarise −62%
  • Chat −52%
  • Code gen −54%
  • Agentic −46%
  • 131K → 66K max output
Inkling Thinking Machines1439.2 tie$1.73
  • Balanced −9%
  • Summarise −17%
  • Chat −4%
  • Code gen −2%
  • Agentic −10%
  • no video input
GLM 5.1 Z.ai1464.1 +27.3$2.80 code gen
  • Code gen under 1% less
  • no image, video input

What this compares, and what it leaves out

  • Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.68 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
  • 188 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
  • Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
  • Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
  • The models that nothing beats on both axes are on the value frontier, and every other model something cheaper beats is listed here.