Part of Best Cheap LLM for High Volume

Best Open-Weight LLM for Self-Hosting

Qwen3.8 27B ranks first for Best Open-Weight LLM for Self-Hosting as of October 21, 2026.[1][2] It scores 72.66% on LiveBench Instruction Following (#15 of 59), including paraphrasing, simplifying, story generation, and summarization. DeepSeek V4.1 Flash is the next-ranked alternative. It scores 70.03% on LiveBench Instruction Following (#25 of 59), including paraphrasing, simplifying, story generation, and summarization.

About this recommendation

Updated
Evidence through
Sources
8
Revision
v114

Decision audit

Why this result

Inspect the inputs and the computed order behind the recommendation.

Models screened

24

live candidates

Evaluation feeds

4

task-weighted

Winner coverage

76%

intended feed weight

Largest provider share

3 of 8

Z.ai

Established source breadth. 2 citation families and 0 practitioner families provide attributed capability reports; 0 cautionary threads retained. The largest citation family contributes 50%.

Qwen: Qwen3.8 27B leads the measured task comparison with 2 independent evaluation families. Community volume, release age and usage popularity add no ranking points. This category also weights its stated price or context criteria.

Real-world track record is still developing. The recommendation can lead on independent measurements while practitioner reports accumulate.

Sources evaluated

These are the weights used in scoring. Missing measurements are omitted from each model’s average. A feed with no result for any model released in the last 60 days is stale and does not score until it catches up.

winner: Qwen3.8 27B
Evaluation feedWeightWinner resultField measured
price weight
46%
88/10024/24
LiveBench Instruction Following (2026-06-25)Observed 2026-10-18 · evaluation date not supplied · qwen3.8-27bfailing; last successful check 2026-10-18
31%
#1511/24
Route reliabilitydisabled; last successful check unknownunavailable
0%
feed unavailable0/24
LMArena TextObserved 2026-10-20 · evaluation date not supplied · Qwen3.8-27B
23%
#6323/24

Provider concentration

Each exact model is scored separately; provider identity is not a ranking input.

Z.ai38%
  • Z.ai3 models
  • deepseek2 models
  • Moonshot AI1 model
  • Qwen1 model
  • thinkingmachines1 model

Decision table

Every published model is shown in computed order. Practitioner sources are distinct community threads, not the citations repeated in the prose below.

  1. Qwen · coverage 76%

    #15 LiveBench Instruction Following · #63 LMArena Text

  2. deepseek · coverage 76%

    #25 LiveBench Instruction Following · #26 LMArena Text

  3. Z.ai · coverage 76%

    #17 LMArena Text · #27 LiveBench Instruction Following

  4. Z.ai · coverage 76%

    #24 LMArena Text · #48 LiveBench Instruction Following

  5. Moonshot AI · coverage 76%

    #14 LMArena Text · #20 LiveBench Instruction Following

  6. deepseek · coverage 76%

    #44 LiveBench Instruction Following · #66 LMArena Text

  7. Z.ai · coverage 76%

    #26 LMArena Text · #59 LiveBench Instruction Following

  8. thinkingmachines · coverage 76%

    #24 LiveBench Instruction Following · #58 LMArena Text

Task score averages the available, task-weighted measurements. Benchmark positions compare models matched to our catalog. Models measured by at least two independent evaluator families are considered first. Missing tests, practitioner report counts, popularity and release age add no points. Coverage describes evidence breadth, not a probability of correctness. Scores within two points are shown as close under this policy; this is not a statistical confidence interval. When the leading scores are that close, the model measured by more evaluator families ranks first.

  1. 01

    Qwen3.8 27BQwen · $0.040 in / $1.35 out per M tokens · 1M context · open-weight

    Qwen3.8 27B scores 72.66% on LiveBench Instruction Following (#15 of 59), including paraphrasing, simplifying, story generation, and summarization.

    Best when: Its strongest result for this task is on LiveBench Instruction Following, which measures following detailed instructions exactly.
    Source 1
    “Within the 59 catalog models matched to this evaluation: Scores 72.66% on LiveBench Instruction Following (#15 of 59), including paraphrasing, simplifying, story generation, and summarization.”
    LiveBench Instruction FollowingOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  2. 02

    DeepSeek V4.1 Flashdeepseek · $0.049 in / $0.38 out per M tokens · 1.0M context · open-weight

    DeepSeek V4.1 Flash scores 70.03% on LiveBench Instruction Following (#25 of 59), including paraphrasing, simplifying, story generation, and summarization.

    Best when: Its strongest result for this task is on LiveBench Instruction Following, which measures following detailed instructions exactly.
    Source 2
    “Within the 59 catalog models matched to this evaluation: Scores 70.03% on LiveBench Instruction Following (#25 of 59), including paraphrasing, simplifying, story generation, and summarization.”
    LiveBench Instruction FollowingOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  3. 03

    GLM 5.3Z.ai · $0.079 in / $1.40 out per M tokens · 1.0M context · open-weight

    GLM 5.3 ranks #17 of 150 on LMArena's overall text arena (Elo 1481), based on blind human preference votes.

    Best when: Its strongest result for this task is on LMArena Text, which measures general reasoning and instruction following.
    Source 3
    “Within the 150 catalog models matched to this evaluation: Ranks #17 of 150 on LMArena's overall text arena (Elo 1481), based on blind human preference votes.”
    LMArena text arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  4. 04

    GLM 5.2Z.ai · $0.034 in / $7 out per M tokens · 1.0M context · open-weight

    GLM 5.2 ranks #24 of 150 on LMArena's overall text arena (Elo 1476), based on blind human preference votes.

    Best when: Its strongest result for this task is on LMArena Text, which measures general reasoning and instruction following.
    Source 4
    “Within the 150 catalog models matched to this evaluation: Ranks #24 of 150 on LMArena's overall text arena (Elo 1476), based on blind human preference votes.”
    LMArena text arenaOpen original ↗
  5. 05

    Kimi K3Moonshot AI · $0.24 in / $11.94 out per M tokens · 1.0M context · open-weight

    Kimi K3 ranks #14 of 150 on LMArena's overall text arena (Elo 1488), based on blind human preference votes.

    Best when: Its strongest result for this task is on LMArena Text, which measures general reasoning and instruction following.
    Source 5
    “Within the 150 catalog models matched to this evaluation: Ranks #14 of 150 on LMArena's overall text arena (Elo 1488), based on blind human preference votes.”
    LMArena text arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  6. 06

    DeepSeek V4 Flash 0423deepseek · $0.091 in / $0.18 out per M tokens · 1.0M context · open-weight

    DeepSeek V4 Flash 0423 scores 63.14% on LiveBench Instruction Following (#44 of 59), including paraphrasing, simplifying, story generation, and summarization.

    Best when: Its strongest result for this task is on LiveBench Instruction Following, which measures following detailed instructions exactly.
    Source 6
    “Within the 59 catalog models matched to this evaluation: Scores 63.14% on LiveBench Instruction Following (#44 of 59), including paraphrasing, simplifying, story generation, and summarization.”
    LiveBench Instruction FollowingOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  7. 07

    GLM 5.3 FlashZ.ai · $0.041 in / $0.12 out per M tokens · 1.0M context · open-weight

    GLM 5.3 Flash ranks #26 of 150 on LMArena's overall text arena (Elo 1475), based on blind human preference votes.

    Best when: Its strongest result for this task is on LMArena Text, which measures general reasoning and instruction following.
    Source 7
    “Within the 150 catalog models matched to this evaluation: Ranks #26 of 150 on LMArena's overall text arena (Elo 1475), based on blind human preference votes.”
    LMArena text arenaOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  8. 08

    Inklingthinkingmachines · $1 in / $4.05 out per M tokens · 524K context · open-weight

    Inkling scores 70.1% on LiveBench Instruction Following (#24 of 59), including paraphrasing, simplifying, story generation, and summarization.

    Best when: Its strongest result for this task is on LiveBench Instruction Following, which measures following detailed instructions exactly.
    Source 8
    “Within the 59 catalog models matched to this evaluation: Scores 70.1% on LiveBench Instruction Following (#24 of 59), including paraphrasing, simplifying, story generation, and summarization.”
    LiveBench Instruction FollowingOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

Frequently asked

What is the best model for Best Open-Weight LLM for Self-Hosting?
Qwen3.8 27B ranks first as of October 21, 2026. Qwen3.8 27B scores 72.66% on LiveBench Instruction Following (#15 of 59), including paraphrasing, simplifying, story generation, and summarization.[1]
What is the best alternative to Qwen3.8 27B?
DeepSeek V4.1 Flash ranks second. DeepSeek V4.1 Flash scores 70.03% on LiveBench Instruction Following (#25 of 59), including paraphrasing, simplifying, story generation, and summarization.[2]
Can I self-host the top pick for Best Open-Weight LLM for Self-Hosting?
Yes. Qwen3.8 27B is open-weight, so it can run on your own hardware as well as through hosted routes.[1]

Sources

  1. 1

    “Within the 59 catalog models matched to this evaluation: Scores 72.66% on LiveBench Instruction Following (#15 of 59), including paraphrasing, simplifying, story generation, and summarization.”

    LiveBench Instruction Following · Benchmark · Oct 18, 2026
  2. 2

    “Within the 59 catalog models matched to this evaluation: Scores 70.03% on LiveBench Instruction Following (#25 of 59), including paraphrasing, simplifying, story generation, and summarization.”

    LiveBench Instruction Following · Benchmark · Oct 18, 2026
  3. 3

    “Within the 150 catalog models matched to this evaluation: Ranks #17 of 150 on LMArena's overall text arena (Elo 1481), based on blind human preference votes.”

    LMArena text arena · Benchmark · Oct 20, 2026
  4. 4

    “Within the 150 catalog models matched to this evaluation: Ranks #24 of 150 on LMArena's overall text arena (Elo 1476), based on blind human preference votes.”

    LMArena text arena · Benchmark · Oct 20, 2026
  5. 5

    “Within the 150 catalog models matched to this evaluation: Ranks #14 of 150 on LMArena's overall text arena (Elo 1488), based on blind human preference votes.”

    LMArena text arena · Benchmark · Oct 20, 2026
  6. 6

    “Within the 59 catalog models matched to this evaluation: Scores 63.14% on LiveBench Instruction Following (#44 of 59), including paraphrasing, simplifying, story generation, and summarization.”

    LiveBench Instruction Following · Benchmark · Oct 18, 2026
  7. 7

    “Within the 150 catalog models matched to this evaluation: Ranks #26 of 150 on LMArena's overall text arena (Elo 1475), based on blind human preference votes.”

    LMArena text arena · Benchmark · Oct 20, 2026
  8. 8

    “Within the 59 catalog models matched to this evaluation: Scores 70.1% on LiveBench Instruction Following (#24 of 59), including paraphrasing, simplifying, story generation, and summarization.”

    LiveBench Instruction Following · Benchmark · Oct 18, 2026

Rankings synthesized from community evidence and open benchmarks. See methodology. Not driven by vendor marketing.