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AI Model Benchmarks101

Every major closed- and open-weight foundation model, version by version, on the standard public benchmarks, with what each costs. Pick a benchmark, toggle models on and off, and build the comparison you need.
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Model versions
101
28 current
Open-weight
37
64 closed
Labs
12
frontier + open labs
Last refreshed
Oct 10, 2026
updates every two weeks
Benchmark
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Labs
Models 2
Terminal-Bench 2.1Agentic tasks in a live terminal (Vals AI run, Terminus-2 harness). Measures how well a model works a shell unattended. Lounge
0%25%50%75%100%Gemini 3.1 Pro70.8%
No published Terminal-Bench score: Gemini 2.5 Flash
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lounge.ai/benchmarks
Gemini 3.1 Pro70.8%
Model$ in / outTerminal-Bench▼SWE-benchGPQAHLEARC-AGI-2AIMEτ²-benchMMLU-ProAA IndexArena Elo
Claude Opus 5.5closed$4 / $2087.6%——67.7%91.7%—————
GPT-6 Astraclosed$10 / $5087.3%—96%57.2%95%—————
GPT-5.6 SolclosedSuperseded$5 / $3085.8%—94.6%—92.5%—85.1%—58.9—
Claude Fable 5.1closed$10 / $5085%——60.9%90%—————
Claude Opus 5closedSuperseded$5 / $2584.6%96%—56.6%90.4%———60.71505
Claude Sonnet 5.5closed$2 / $1083.1%——56.9%——————
GPT-6 SolclosedSuperseded$2 / $1083.1%———89.6%—————
Gemini 3.8 Flashclosed$0.75 / $3.7581.3%———89.2%—————
Kimi K3open
2.8T / 104B active · Kimi K3 License
$3 / $1580.9%93.4%93.5%56%60.4%———57.11476
Claude Fable 5closedSuperseded$10 / $5080.5%95%—57.8%89.2%—98.5%—59.91494
GPT-5.6 LunaclosedSuperseded$0.2 / $1.279%—92.3%—59.5%———51.2—
Muse Spark 1.3closed$1.25 / $4.2579%—————————
Grok 4.6closedSuperseded$2 / $678.3%———67.1%—————
GPT-5.6 TerraclosedSuperseded$2 / $1277.5%—92.9%—83.9%—86.3%—55—
Gemini 3.7 FlashclosedSuperseded$0.75 / $3.7577.5%———84.6%————1491
GPT-5.5closedSuperseded$5 / $3076.4%—93.6%41.4%85%—98%—54.81481
Claude Sonnet 5closedSuperseded$2 / $1074.5%85.2%—57.4%————53.4—
DeepSeek V4.1 Flashopen
552B / 16B active · MIT
$0.14 / $0.2874.5%—90.9%36.8%——————
Gemini 3.5 FlashclosedSuperseded$1.5 / $974.2%—92.7%40.2%72.1%—95.3%—50.21484
Gemini 3.6 FlashclosedSuperseded$0.75 / $3.7573.8%———60.4%———50.11476
Grok 4.7closed$2 / $673.4%—————————
GPT-6 Lunaclosed$0.1 / $0.573%———59.3%—————
Claude Opus 4.8closedSuperseded$5 / $2571.9%88.6%93.6%57.9%72.1%—94.4%—55.71484
GLM-5.3open
753B · GLM-5.3 License
$1.4 / $4.471.5%————————1475
Gemini 3.1 Proclosed$2 / $1270.8%—94.3%44.4%77.1%—95.6%—46.51480
Muse Spark 1.2closedSuperseded$1.25 / $4.2569.7%————————1489
Muse Spark 1.1closedSuperseded$1.25 / $4.2569.3%——62.1%————50.61479
Claude Opus 4.7closedSuperseded$5 / $2568.5%87.6%94.2%46.9%75.8%—88.6%—53.51490
Grok 4.5closedSuperseded$2 / $667.8%———52.6%———53.8—
GLM-5.2openSuperseded
744B / 40B active · MIT
$1.4 / $4.467.8%—91.2%54.7%—99.2%99.1%—51.1—
Qwen3.8 Maxopen
2.4T / 95B active · Qwen3.8-Max License
$2 / $667.4%—92.6%43.6%—————1480
DeepSeek V4 FlashopenSuperseded
284B / 13B active · MIT
$0.14 / $0.2867%79%88.1%34.8%61.4%——86.2%40.3—
Kimi K2.7 Codeopen
1T / 32B active · Modified MIT
$0.6 / $2.567%—————90.1%—42—
GLM-5.3 Flashopen
320B / 18B active · MIT
—62.9%—————————
Qwen3.7 MaxclosedSuperseded$2.5 / $7.561%80.4%92.4%41.4%——94.7%89.6%461474
Qwen3.8 27Bopen
27B · Apache-2.0
—58.4%—89.2%30.8%——————
Claude Sonnet 4.6closedSuperseded$3 / $1557.3%79.6%—49%58.3%—79.5%79.2%35.9—
GLM-5.1openSuperseded
744B / 40B active · MIT
—56.9%—86.2%52.3%—95.3%97.7%—40.2—
DeepSeek V4 Proopen
1.6T / 49B active · MIT
$0.435 / $0.8754.7%80.6%90.1%42.7%61.3%—96.2%87.5%44.3—
Gemini 3 FlashclosedSuperseded$0.5 / $353.9%78%90.4%33.7%——43.3%—27.4—
Kimi K2.6openSuperseded
1T / 32B active · Modified MIT
$0.6 / $2.553.6%80.2%90.5%34.7%—96.4%95.9%—44.2—
MiniMax M3open
428B / 23B active · MiniMax Community
$0.3 / $1.253.6%80.5%————88.9%—44.4—
Qwen3.6 PlusclosedSuperseded—53.2%78.8%—28.8%—95.3%97.7%88.5%39.6—
Qwen3.7 PlusclosedSuperseded—52.8%77.7%90.3%34.7%——93%88.5%39—
Nemotron 3 Ultraopen
550B / 55B active · OpenMDW-1.1
—50.9%71.9%87%26.7%——83.3%86.8%37.8—
MiniMax M2.7openSuperseded
230B / 10B active · Modified MIT
—48.7%—87%——89.8%84.8%—38.1—
Grok 4.20closedSuperseded$1.25 / $2.544.2%76.7%88.5%—53.3%—————
Claude Haiku 4.5closedSuperseded$1 / $543.8%73.3%—10.2%——————
Grok 4.3closedSuperseded$1.25 / $2.541.9%——35%——97.7%—37.6—
Kimi K2.5openSuperseded
1T / 32B active · Modified MIT
$0.6 / $2.541.9%76.8%87.6%30.1%—95.8%95.9%87.1%35.4—
Mistral Medium 3.5open
128B · Modified MIT
—39%77.6%————94.2%—29.9—
Claude Haiku 5.5closed$0.1 / $0.5———45.9%——————
Claude Mythos 5.1closed$10 / $50——————————
Claude Mythos 5closedSuperseded$10 / $50—95.5%—64.5%——————
Claude Opus 4.6closedSuperseded$5 / $25—80.8%89.2%53%68.8%—92.1%82%43.71503
Claude Opus 4.5closedSuperseded$5 / $25—80.9%—30.8%37.6%95.1%89.5%89.5%40.8—
Claude Sonnet 4.5closedSuperseded$3 / $15—77.2%——13.6%—————
Claude Opus 4.1closedRetired$15 / $75—74.5%————71.4%—33.7—
Claude Opus 4closedRetired$15 / $75—72.5%————————
Claude Sonnet 4closedRetired$3 / $15—72.7%————52.3%—25.5—
Claude 3.7 SonnetclosedRetired$3 / $15—62.3%————————
Claude 3.5 Sonnet (Oct 2024)closedRetired$3 / $15—49%————————
GPT-6.1 Solclosed$2 / $10————94.2%—————
GPT-5.5 ProclosedSuperseded$30 / $180———43.1%84.2%—————
GPT-5.4closedSuperseded$2.5 / $15——92.8%39.8%73.3%—98.9%—51.4—
GPT-5.3 CodexclosedSuperseded$1.75 / $14—85%————86%—44.3—
GPT-5.2closedSuperseded$1.75 / $14—80%——52.9%—84.8%—42.2—
GPT-5.1closedSuperseded$1.25 / $10——————81.9%—36.9—
GPT-5closedSuperseded$1.25 / $10—74.9%85.7%———84.8%—34.7—
gpt-oss-120bopen
117B / 5.1B active · Apache-2.0
——62.4%————65.8%—23.8—
o3closedSuperseded$2 / $8—69.1%————80.7%—30.4—
GPT-4.1closedSuperseded$2 / $8—54.6%————47.1%—19.4—
o3-miniclosedRetired$1.1 / $4.4—49.3%————28.7%—19—
o1closedRetired$15 / $60——————62.6%—23.4—
GPT-4oclosedRetired$2.5 / $10——————25.1%—11.2—
Gemini 4 ArgonclosedPreview$2 / $10——————————
Gemma 4 31Bopen
31B · Apache-2.0
——52%—26.5%——59.9%85.2%29.4—
Gemini 3 ProclosedSuperseded$2 / $12—76.2%91.9%37.5%31.1%—87.1%—39.51480
Gemini 2.5 FlashclosedRetired$0.3 / $2.5——————14.9%—14.1—
Gemini 2.5 ProclosedRetired$1.25 / $10—63.8%—18.8%——54.1%—25.8—
Grok 4.1closedSuperseded$3 / $15—————————1483
Grok 4closedSuperseded$3 / $15——87.5%25.4%15.9%—74.9%—33.3—
Muse Glimmer 30Bopen
30B · Apache-2.0
——76%83.5%——94.7%————
Muse SparkclosedSuperseded——77.4%89.5%50.4%42.5%—91.5%—43.11474
Llama 4 MaverickopenSuperseded
400B / 17B active · Llama 4 Community
———————17.8%—14.3—
Llama 4 ScoutopenSuperseded
109B / 17B active · Llama 4 Community
———————15.5%—10—
DeepSeek V3.2openSuperseded
671B / 37B active · MIT
$0.28 / $0.42——————78.9%—24.7—
DeepSeek V3.1openSuperseded
671B / 37B active · MIT
$0.56 / $1.68—66%————34.8%—21.1—
DeepSeek R1openSuperseded
671B / 37B active · MIT
$0.55 / $2.19—49.2%————36.5%—20.1—
DeepSeek V3openRetired
671B / 37B active · MIT
$0.27 / $1.1—42%————22.8%75.9%14.2—
Kimi K2openSuperseded
1T / 32B active · Modified MIT
$0.6 / $2.5—65.8%————61.1%—19.4—
Qwen3.8 Flash-Nextopen
125B / 6B active · Qwen Community 1.0
———91.7%35.9%——————
Qwen3.6 27BopenSuperseded
27B · Apache-2.0
——77.2%—24%—94.1%94.2%86.2%37—
Qwen3.5 397B-A17BopenSuperseded
397B / 17B active · Apache-2.0
——76.2%—28.7%—93.3%83.9%87.8%33.7—
GLM-5openSuperseded
744B / 40B active · MIT
——77.8%86%50.4%—95.8%98.2%85.7%39.5—
GLM-4.7openSuperseded
355B / 32B active · MIT
——73.8%—24.8%——95.9%84.3%33.7—
GLM-4.6openSuperseded
355B / 32B active · MIT
———————76.9%—23—
Mistral Large 4openPreview———————————
Mistral Small 4open
119B / 6.5B active · Apache-2.0
———————41.2%—19.6—
Mistral Large 3openSuperseded
675B / 41B active · Apache-2.0
———————24.6%—15.9—
MiniMax M2.5openSuperseded
230B / 10B active · Modified MIT
———————95.3%—33.6—
101 of 101 model versions shown · hover a score for its configuration, click it for the source · prices are USD per 1M tokens via each lab's API, standard tier
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Source: Lounge.ai AI Model Benchmarks (lounge.ai/benchmarks), accessed October 10, 2026. https://lounge.ai/benchmarks
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<a href="https://lounge.ai/benchmarks"><img src="https://lounge.ai/api/benchmarks/chart?b=tb" alt="Terminal-Bench 2.1: top AI models, from the Lounge.ai AI Model Benchmarks" width="1200" height="675" style="max-width:100%;height:auto" /></a>
<p>Source: <a href="https://lounge.ai/benchmarks">Lounge.ai AI Model Benchmarks</a></p>
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Terminal-Bench 2.1Top 10 · darklightBest per labOpen-weight
SWE-bench VerifiedTop 10 · darklightBest per labOpen-weight
GPQA DiamondTop 10 · darklightBest per labOpen-weight
Humanity's Last ExamTop 10 · darklightBest per labOpen-weight
ARC-AGI-2Top 10 · darklightBest per labOpen-weight
AIME 2026Top 10 · darklightBest per labOpen-weight
τ²-bench (Telecom)Top 10 · darklightBest per labOpen-weight
MMLU-ProTop 10 · darklightBest per labOpen-weight
Artificial Analysis Intelligence IndexTop 10 · darklightBest per labOpen-weight
LMArena TextTop 10 · darklightBest per labOpen-weight
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