GLM 4.5 in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
B 1,396 ±3
Percentile 66 · #100 · provisional
People prefer / Solves tasks
1,408 / —
Human votes vs benchmarks, Elo-eq
Value
+18
$1 per 1M tokens, median of 15 providers · vendor $1
On your hardware
- 128 GB unified memory #40 · UD-IQ1_M · strong compression · ≈10 tok/s
Score decomposition
B General 1,396 [1,394–1,399] Percentile 66 · #100 · components: 6 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/overall
|
1,430 ±2.51 | 1,430 ±2 | 26.2% | 2026-10-02 | — |
| LMArena |
text/hard_prompts
|
1,430 ±3.26 | 1,422 ±3 | 26.0% | 2026-10-02 | — |
| LMArena |
text/instruction_following
|
1,404 ±4.03 | 1,417 ±4 | 12.7% | 2026-10-02 | — |
| LMArena |
text/expert
|
1,432 ±8.91 | 1,421 ±7 | 10.9% | 2026-10-02 | — |
| LMArena |
text/longer_query
|
1,413 ±4.37 | 1,412 ±4 | 6.3% | 2026-10-02 | — |
| LMArena |
text/multi_turn
|
1,415 ±5.04 | 1,412 ±5 | 6.2% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Coding 1,391 [1,384–1,398] Percentile 63 · #104 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/coding
|
1,434 ±4.48 | 1,412 ±4 | 90.0% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Math 1,390 [1,376–1,402] Percentile 62 · #97 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/math
|
1,427 ±7.98 | 1,419 ±8 | 86.4% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Writing 1,405 [1,398–1,412] Percentile 66 · #91 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/creative_writing
|
1,395 ±5.53 | 1,423 ±6 | 61.0% | 2026-10-02 | — |
| LMArena |
text/longer_query
|
1,413 ±4.37 | 1,412 ±4 | 32.4% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: 繁體中文 1,410 [1,400–1,421] Percentile 65 · #78 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/chinese
|
1,465 ±7.38 | 1,425 ±6 | 93.3% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: Deutsch 1,389 [1,369–1,409] Percentile 50 · #72 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/german
|
1,406 ±13 | 1,408 ±11 | 91.1% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: English 1,413 [1,406–1,420] Percentile 68 · #88 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/english
|
1,437 ±3.35 | 1,427 ±4 | 93.8% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: Español 1,427 [1,407–1,447] Percentile 74 · #39 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/spanish
|
1,454 ±12 | 1,448 ±11 | 91.2% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
C Language: Français 1,385 [1,358–1,411] Percentile 38 · #84 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/french
|
1,422 ±16 | 1,407 ±15 | 88.9% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: 日本語 1,420 [1,405–1,436] Percentile 71 · #38 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/japanese
|
1,416 ±12 | 1,439 ±9 | 92.3% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: 한국어 1,404 [1,387–1,421] Percentile 55 · #62 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/korean
|
1,382 ±12 | 1,421 ±9 | 92.0% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: Polski 1,411 [1,399–1,422] Percentile 53 · #62 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/polish
|
1,422 ±7.58 | 1,426 ±6 | 93.1% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Language: Русский 1,405 [1,393–1,417] Percentile 63 · #87 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/russian
|
1,414 ±7.30 | 1,420 ±7 | 93.1% | 2026-10-02 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
History
The same in a table
| Model | 2026-10 |
|---|---|
| GLM 4.5 | 1,396 B |
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