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Model Pareto

Xing4.0-29B-A4B

China Telecom AI (TeleAI)Open weightshuggingface.co ↗
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Input
—
Output
—
Speed
~110tok/sest.
Context
262Ktokens

Released Sep 17, 2026 per the official GitHub announcement (https://github.com/XingChen-AGI/Xing4.0-29B-A4B#news). Apache-2.0 MoE, formerly the TeleChat series; native 256K context, extensible to 512K. Parameter counts follow the developer's model card. MTP supports speculative decoding; no separate official draft model was found as of Sep 26. No measured API price or speed found. Terminal-Bench 2.1 and Tau3-Bench scores are not mapped to the site's Terminal-Bench 4.0 and tau3-Banking benchmarks.

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs. No API sells this model, so this is its price on the chart.

Hardware
1× B200 180GB
BF16 weights
Throughput
~10,211 tok/s
many requests batched
Price
$0.067–0.60 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, 300+ tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • BF16 weights (29B params, 4B active per token) + 25% KV-cache headroom ≈ 73 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~10,211 output tok/s aggregate at batch 256 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~132,891 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

SWE-bench Pro (Public)Estimated
~#14 of 19 (estimated)~55.3%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #13Hy357.9%
  4. ~#14Xing4.0-29B-A4BEstimated55.3%
  5. #14Inkling54.3%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#18 of 31 (estimated)~63.9%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #16Hy4 preview64.3%
  4. ~#18Xing4.0-29B-A4BEstimated63.9%
  5. #18GPT-6 Luna63.7%
No published score — estimated from related benchmarks
Terminal-Bench 4.0Estimated
~#18 of 84 (estimated)~21.3%
  1. #1Claude Sonnet 5.563.6%
  2. #2Claude Opus 5.559.6%
  3. #17MiMo-V2.6-Flash22.7%
  4. ~#18Xing4.0-29B-A4BEstimated21.3%
  5. #18Gemini 3.8 Flash19.7%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#6 of 20 (estimated)~84.6%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #5gpt-oss-120b87.8%
  4. ~#6Xing4.0-29B-A4BEstimated84.6%
  5. #6Gemma 4 31B80.0%
No published score — estimated from related benchmarks
SciCodeEstimated
~#16 of 96 (estimated)~55.7%
  1. #1Claude Opus 5.566.9%
  2. #2Claude Fable 5.163.1%
  3. #15GPT-5.555.8%
  4. ~#16Xing4.0-29B-A4BEstimated55.7%
  5. #16GPT-5.6 Terra55.0%
No published score — estimated from related benchmarks
AA Coding Agent IndexEstimated
~#5 of 15 (estimated)~57.8
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #4Claude Opus 559.7
  4. ~#5Xing4.0-29B-A4BEstimated57.8
  5. #5GPT-6 Sol56.7
No published score — estimated from related benchmarks

Writing & chat

MMMLUEstimated
~#3 of 5 (estimated)~87.7%
  1. #1Gemini 3.1 Pro92.6%
  2. #2Gemma 4 31B88.4%
  3. ~#3Xing4.0-29B-A4BEstimated87.7%
  4. #3Claude Haiku 4.583.0%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Estimated
~#30 of 54 (estimated)~1429 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #29Qwen3.8 27B1429
  4. ~#30Xing4.0-29B-A4BEstimated1429
  5. #30MiniMax-M31427
No published score — estimated from related benchmarks
LMArena Text (Elo)Estimated
~#27 of 54 (estimated)~1442 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #25Qwen3.5 397B A17B1442
  4. ~#27Xing4.0-29B-A4BEstimated1442
  5. #27MiniMax-M31441
No published score — estimated from related benchmarks
EQ-Bench Creative Writing v3 (Elo)Estimated
~#9 of 26 (estimated)~1911 Elo
  1. #1GPT-6 Astra2173
  2. #2Claude Fable 5.12162
  3. #8Grok 4.72007
  4. ~#9Xing4.0-29B-A4BEstimated1911
  5. #9Muse Spark 1.31906
No published score — estimated from related benchmarks

Hard reasoning

GPQA DiamondEstimated
~#64 of 173 (estimated)~79.4%
  1. #1GPT-6 Astra96.1%
  2. #2Gemini 3.8 Flash95.3%
  3. #63Nemotron 3 Super 120B A12B80.0%
  4. ~#64Xing4.0-29B-A4BEstimated79.4%
  5. #64EXAONE 4.5 33B79.4%
No published score — estimated from related benchmarks
AA Intelligence IndexEstimated
~#29 of 75 (estimated)~27.0
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556.0
  3. #28MiniMax-M329.2
  4. ~#29Xing4.0-29B-A4BEstimated27.0
  5. #29Quasar 438B26.7
No published score — estimated from related benchmarks