GLM 4.5V in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
C 1,316 ±5
Percentile 37 · #184 · provisional
People prefer / Solves tasks
1,323 / —
Human votes vs benchmarks, Elo-eq
Value
-60
$0.90 per 1M tokens, median of 12 providers · vendor $0.90
On your hardware
- GPU 24 GB #22 · Q4_K_M · ≈9 tok/s
- 128 GB unified memory #31 · Q4_K_M · ≈16 tok/s
Score decomposition
C General 1,316 [1,311–1,320] Percentile 37 · #184 · components: 5 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/overall
|
1,333 ±4.30 | 1,333 ±4 | 31.4% | 2026-10-02 | — |
| LMArena |
text/hard_prompts
|
1,335 ±6.13 | 1,336 ±6 | 29.9% | 2026-10-02 | — |
| LMArena |
text/instruction_following
|
1,311 ±8.06 | 1,329 ±8 | 13.5% | 2026-10-02 | — |
| LMArena |
text/longer_query
|
1,305 ±9.08 | 1,312 ±8 | 6.4% | 2026-10-02 | — |
| LMArena |
text/multi_turn
|
1,333 ±10 | 1,338 ±9 | 6.1% | 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
C Coding 1,318 [1,304–1,333] Percentile 35 · #182 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/coding
|
1,347 ±9.50 | 1,334 ±8 | 87.9% | 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
D Vision 1,329 [1,321–1,337] Percentile 22 · #88 · components: 3 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
vision/overall
|
1,154 ±5.93 | 1,343 ±5 | 67.7% | 2026-10-02 | — |
| LMArena |
vision/ocr
|
1,150 ±8.63 | 1,327 ±8 | 14.6% | 2026-10-02 | — |
| LMArena |
vision/diagram
|
1,151 ±15 | 1,331 ±14 | 10.6% | 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 Writing 1,308 [1,293–1,322] Percentile 39 · #164 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/creative_writing
|
1,295 ±12 | 1,321 ±12 | 56.5% | 2026-10-02 | — |
| LMArena |
text/longer_query
|
1,305 ±9.08 | 1,312 ±8 | 34.8% | 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
C Language: English 1,338 [1,325–1,350] Percentile 43 · #157 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/english
|
1,362 ±6.46 | 1,348 ±7 | 93.0% | 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
C Language: Русский 1,305 [1,282–1,327] Percentile 31 · #162 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/russian
|
1,299 ±14 | 1,316 ±13 | 90.4% | 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
History
The same in a table
| Model | 2026-10 |
|---|---|
| GLM 4.5V | 1,316 C |
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