BenchLeader

GLM-4.7-Flash

Best configuration ranks #296 of 610 on the BenchLeader Index at 50.0 ±4.3. Last measured 2 Sept 2026. Released 19 Jan 2026.

Blended price
$0.153/M
$0.070 in · $0.400 out
Output speed
97 tok/s
First answer
22 s
first token 0.79 s
Context
200k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index50
  2. Reasoning48
  3. Coding56
  4. Agents & tools53
  5. Maths50
  6. Knowledge34
  7. Instruction following60
  8. Human preference54
  9. Long context46
  10. Composite48

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning41.3#487104 tok/s1.76 s$0.0001Agents & tools 37 · Composite 42 · Instruction following 48 · Knowledge 31 · Long context 35 · Maths 35 · Reasoning 35
defaultbest50.0#29697 tok/s22 s$0.0001Agents & tools 53 · Coding 56 · Composite 48 · Human preference 54 · Instruction following 60 · Knowledge 34 · Long context 46 · Maths 50 · Reasoning 48

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoningdefaultSource
GPQA Diamond45.1%#21960.5%#178Epoch AI Benchmarking Hub
LMArena Hard Prompts1386#160LMArena
GPQA Diamond (AA)not in index45.1%#42858.1%#368Artificial Analysis
Humanity's Last Exam (AA)not in index5.0%#3827.6%#289Artificial Analysis

Coding

Benchmarkno reasoningdefaultSource
LMArena Coding1425#156LMArena

Agents & tools

Benchmarkno reasoningdefaultSource
Terminal-Bench Hard3.8%#28322.0%#149Artificial Analysis
τ²-Bench Telecom (AA)not in index91.8%#5698.8%#3Artificial Analysis

Maths

Benchmarkno reasoningdefaultSource
OTIS Mock AIME25.0%#19758.3%#149Epoch AI Benchmarking Hub

Knowledge

Benchmarkno reasoningdefaultSource
AA-Omniscience-68.9#430-62.6#406Artificial Analysis

Instruction following

Benchmarkno reasoningdefaultSource
IFBench46.3%#19160.8%#121Artificial Analysis

Human preference

Benchmarkno reasoningdefaultSource
LMArena Text1366#163LMArena

Long context

Benchmarkno reasoningdefaultSource
AA-LCR20.3%#36041.7%#282Artificial Analysis

Composite

Benchmarkno reasoningdefaultSource
AA Intelligence Index10.6#30414.9#225Artificial Analysis

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
NovitaAI42 tok/s0.91 s$0.070$0.400200kbf16
Venice26 tok/s0.95 s$0.060$0.400128kfp8
Cloudflare23 tok/s0.68 s$0.060$0.400131k
DeepInfra15 tok/s0.47 s$0.060$0.400203kbf16

Price history

Listed price per 1M tokens over time, as recorded by OpenRouter for the provider with the longest history.

$0.00$0.138$0.275$0.413$0.550Feb 26Mar 26Apr 26May 26Jun 26Jul 26Aug 26
input outputnow $0.060 in · $0.400 out

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.010 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0001$0.000124.7 s
Summarise a 30-page report12,000 / 600$0.0011$0.000527.7 s
Code edit6,000 / 1,500$0.0010$0.000837.0 s
Agentic coding session60,000 / 4,000$0.0058$0.00311.0 min
Structured extraction2,000 / 200$0.0002$0.000123.6 s

See also

Data as of 9 Sept 2026. Compare these configurations.