Alternatives to GLM 5V Turbo

Z.ai LMArena 1437.2 $1.90/M on a balanced workload prices as of 2026-10-06

7 models are higher-scoring or cheaper, with neither dimension worse.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, 23 score at least as high as GLM 5V Turbo and cost no more under at least one listed workload, with at least one of those dimensions improved. 7 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 16 have a recorded capability loss, named on every row.

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 only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.

Where it holds

WorkloadGLM 5V Turbo $/MRecorded capabilities preservedRecorded capability losses
Balanced$1.90416
Summarise$1.07415
Chat$2.03415
Code gen$2.80416
Agentic$1.05715

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

Intelligence1437.2
Context window202K
Max output131K
Input modesimage, text, video
Tool useyes
Extended reasoningyes

Preserving recorded capabilities requires matching or beating these fields. Full record for GLM 5V Turbo, or check GLM 5V Turbo against the whole catalogue.

Recorded capabilities preserved 7

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats GLM 5V Turbo on recorded context, maximum output, input modes, tool use and extended reasoning.

#ModelIntelligence$/MHolds under
1MiMo-V2.6-Pro Xiaomi1491 +53.8$0.540
  • Balanced −72%
  • Summarise −69%
  • Chat −76%
  • Code gen −76%
  • Agentic −77%
2GLM 5.3 Flash Z.ai1469.6 +32.4$0.238
  • Balanced −88%
  • Summarise −88%
  • Chat −88%
  • Code gen −88%
  • Agentic −88%
3MiMo-V2.6-Flash Xiaomi1456.4 +19.2$0.175
  • Balanced −91%
  • Summarise −90%
  • Chat −92%
  • Code gen −92%
  • Agentic −92%
4Qwen3.8 27B Qwen1440.7 tie$0.562
  • Balanced −70%
  • Summarise −83%
  • Chat −58%
  • Code gen −56%
  • Agentic −65%
5Muse Spark 1.3 Meta1489.9 +52.7$1.05 agentic
  • Agentic under 1% less
6Muse Spark 1.2 Meta1483.2 +46$1.05 agentic
  • Agentic under 1% less
7Muse Spark 1.1 Meta1479.2 +42$1.05 agentic
  • Agentic under 1% less

Alternatives with recorded capability losses 16

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

ModelIntelligence$/MHolds underRecorded capability loss
Gemini 3.6 Flash Google1479.5 +42.3$1.50
  • Balanced −21%
  • Summarise −34%
  • Chat −14%
  • Code gen −11%
  • Agentic −24%
  • 131K → 66K max output
GLM 5.3 Z.ai1471.4 +34.2$1.00
  • Balanced −47%
  • Summarise −68%
  • Chat −28%
  • Code gen −25%
  • Agentic −38%
  • no image, video input
GLM 5.2 Z.ai1470.4 +33.2$1.12
  • Balanced −41%
  • Summarise −60%
  • Chat −23%
  • Code gen −20%
  • Agentic −34%
  • no image, video input
MiMo-V2.5-Pro Xiaomi1465 +27.8$0.544
  • Balanced −71%
  • Summarise −69%
  • Chat −76%
  • Code gen −76%
  • Agentic −77%
  • no image, video input
DeepSeek V4.1 Flash DeepSeek1462.5 +25.3$0.182
  • Balanced −90%
  • Summarise −94%
  • Chat −88%
  • Code gen −87%
  • Agentic −90%
  • no video input
GLM 5.1 Z.ai1461.5 +24.3$1.83
  • Balanced −4%
  • Code gen −5%
  • no image, video input
Qwen3.7 Plus Qwen1454.6 +17.4$0.560
  • Balanced −71%
  • Summarise −72%
  • Chat −69%
  • Code gen −69%
  • Agentic −70%
  • no video input
Kimi K2.6 Moonshot AI1455.5 +18.3$0.961
  • Balanced −49%
  • Summarise −57%
  • Chat −43%
  • Code gen −42%
  • Agentic −48%
  • no video input
Gemma 4 31B Google1443.4 tie$0.205
  • Balanced −89%
  • Summarise −86%
  • Chat −88%
  • Code gen −89%
  • Agentic −83%
  • 131K → 16K max output
GLM 5 Z.ai1446.3 tie$1.09
  • Balanced −43%
  • Summarise −42%
  • Chat −44%
  • Code gen −44%
  • Agentic −43%
  • 131K → 128K max output
  • no image, video input
Hy3 Tencent1440.7 tie$0.231
  • Balanced −88%
  • Summarise −88%
  • Chat −87%
  • Code gen −87%
  • Agentic −87%
  • 131K → 128K max output
  • no image, video input
Kimi K2.5 Moonshot AI1445.2 tie$1.20
  • Balanced −37%
  • Summarise −46%
  • Chat −31%
  • Code gen −29%
  • Agentic −37%
  • no video input
DeepSeek V4 Pro 0423 DeepSeek1445.2 tie$1.21
  • Balanced −36%
  • Summarise −53%
  • Chat −23%
  • Code gen −20%
  • Agentic −34%
  • no image, video input
GLM 4.6 Z.ai1439.9 tie$0.760
  • Balanced −60%
  • Summarise −63%
  • Chat −58%
  • Code gen −57%
  • Agentic −60%
  • 131K → 16K max output
  • no image, video input
Qwen3.5 397B A17B Qwen1438 tie$0.878
  • Balanced −54%
  • Summarise −54%
  • Chat −42%
  • Code gen −44%
  • Agentic −35%
  • 131K → 82K max output
Inkling Thinking Machines1441.8 tie$1.73
  • Balanced −9%
  • Summarise −17%
  • Chat −4%
  • Code gen −2%
  • Agentic −10%
  • no 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 ±10.47 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
  • 204 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.
  • Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the value frontier. Models with such an alternative are listed here.
Evidence & Ask