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Model Pareto

Compare models

Side by side: quality per category, price, speed, and every benchmark cell with where it came from. Pick up to four.
Command A+Qwen3.6 35B A3BNemotron 3 Super 120B A12B
Focus

Agents: quality vs price

Compared models are ringed; the other 170 ranked here are greyed.

Lower price is better. Pareto frontier: Gemma 4 E4B, Sarvam 30B, Qwen3.5 4B, Sarvam 105B, Ling 3.0 Flash, MiMo-V2.6-Flash, Qwen3.8 Flash-Next, GLM-5.3 Flash, Muse Spark 1.3, Claude Opus 5.5. 65 models are not plotted: Nex-N2.5-Pro, Atria Dawn Preview, Motif 3, K2 Horizon 375B A23B, Nex-N2.5-Mini, Solar Open2 250B, K2 Horizon MoVA 36B A4B, G9v3-39A5B, Apriel-v1.6-15B-Thinker, HyperCLOVA X SEED Think (32B), A.X-K2, EXAONE 4.5 33B, K2 Horizon 7B, Nex-N2-Pro, Tri-21B-Think, MiniCPM-V 4.6 1.3B, LongCat Flash Lite, MiniCPM5-1B, Qwen3.5 2B, Ling 3.0 Tiny, Nemotron Cascade 2 30B A3B, K-EXAONE 2.0 0803, K2 Horizon 3.7B, Solar Open 100B, Qwen3.5 0.8B, Command A+, MiniCPM5-2B, HyperNova 60B 2605, Nanbeige4.1-3B, K2-V2, Step3 VL 10B, INTELLECT-3, Falcon-H1R-7B, K2 Think V2, NVIDIA Nemotron 3 Nano 4B, Llama 3.1 Nemotron Ultra 253B v1, Gemma 4 E2B, North Mini Code, Devstral 2, LFM2.5-8B-A1B, Olmo 3.1 32B Instruct, LFM2.5-2.6B, Devstral Small 2, Hermes 4 - Llama-3.1 70B, LFM2.5-1.2B-Thinking, Exaone 4.0 1.2B, Granite 4.0 H 1B, Jamba Reasoning 3B, Granite 4.0 H 350M, Jamba 1.7 Large, Granite 4.0 350M, Jamba 1.7 Mini, LFM2 24B A2B, Granite 4.0 Micro, LFM2.5-1.2B-Instruct, EXAONE 4.0 32B, Gemma 3 270M, LFM2.5-VL-1.6B, K2 Horizon 0.9B, Olmo 3.1 32B Think, Olmo 3 7B Think, Molmo2-8B, Molmo 7B-D, Kimi Linear 48B A3B Instruct, Tiny Aya Global.

65 models with no price data — shown in the strip at the left edge

Nex-N2.5-Pro, Atria Dawn Preview, Motif 3, K2 Horizon 375B A23B, Nex-N2.5-Mini, Solar Open2 250B, K2 Horizon MoVA 36B A4B, G9v3-39A5B, Apriel-v1.6-15B-Thinker, HyperCLOVA X SEED Think (32B), A.X-K2, EXAONE 4.5 33B, K2 Horizon 7B, Nex-N2-Pro, Tri-21B-Think, MiniCPM-V 4.6 1.3B, LongCat Flash Lite, MiniCPM5-1B, Qwen3.5 2B, Ling 3.0 Tiny, Nemotron Cascade 2 30B A3B, K-EXAONE 2.0 0803, K2 Horizon 3.7B, Solar Open 100B, Qwen3.5 0.8B, Command A+, MiniCPM5-2B, HyperNova 60B 2605, Nanbeige4.1-3B, K2-V2, Step3 VL 10B, INTELLECT-3, Falcon-H1R-7B, K2 Think V2, NVIDIA Nemotron 3 Nano 4B, Llama 3.1 Nemotron Ultra 253B v1, Gemma 4 E2B, North Mini Code, Devstral 2, LFM2.5-8B-A1B, Olmo 3.1 32B Instruct, LFM2.5-2.6B, Devstral Small 2, Hermes 4 - Llama-3.1 70B, LFM2.5-1.2B-Thinking, Exaone 4.0 1.2B, Granite 4.0 H 1B, Jamba Reasoning 3B, Granite 4.0 H 350M, Jamba 1.7 Large, Granite 4.0 350M, Jamba 1.7 Mini, LFM2 24B A2B, Granite 4.0 Micro, LFM2.5-1.2B-Instruct, EXAONE 4.0 32B, Gemma 3 270M, LFM2.5-VL-1.6B, K2 Horizon 0.9B, Olmo 3.1 32B Think, Olmo 3 7B Think, Molmo2-8B, Molmo 7B-D, Kimi Linear 48B A3B Instruct, Tiny Aya Global

  • Best-value frontier (nothing is both cheaper and better)
  • Evidencestrong → weak
  • Estimated from other categories
  • Command A+
    Quality
    28.0
    Rank
    #93/173
    Price
    —
    Speed
    214tok/s

    vs Qwen3.6 35B A3B: −6.2 quality · price n/a

  • Qwen3.6 35B A3B
    Quality
    34.3
    Rank
    #77/173
    Price
    $0.84/M tok
    Speed
    120tok/s
    In$0.375Out$2.25/M tok

    vs Nemotron 3 Super 120B A12B: +6.1 quality · 1.9× price

  • Nemotron 3 Super 120B A12B
    Quality
    28.2
    Rank
    #92/173
    Price
    $0.45/M tok
    Speed
    164tok/s
    In$0.30▾Out$0.90▾/M tok

    vs Qwen3.6 35B A3B: −6.1 quality · 0.53× price

Overview

Lab
Cohere
Alibaba Qwen
NVIDIA
Released
May 20, 2026
Apr 16, 2026
Mar 11, 2026
Weights
Open
Open
Open
Input price
$/M tok
—
$0.375
$0.30Best
Output price
$/M tok
—
$2.25
$0.90Best
Blended price
$/M tok · 3:1 in:out
—
$0.844
$0.45Best
Output speed
tok/s
214Best
120
164
Context
tokens
192K
262K
1MBest

Quality by category

0–100 within each category (100 = best tracked model). Rank is among all models ranked there. Click a row to focus it.

29.6±8.0Best
#75/103Verified
29.0±8.0
#77/103Verified
27.9±8.0
#81/103Verified
51.0±9.5
#57/146Verified
52.0±9.5Best
#56/146Verified
51.0±9.5
#58/146Verified
33.5±6.3
#58/82Verified
48.6±6.3Best
#45/82Verified
Not ranked
38.4±3.7
#92/182Verified
52.0±3.7Best
#62/182Verified
45.6±3.7
#77/182Verified
28.0±4.2
#93/173Verified
34.3±4.2Best
#77/173Verified
28.2±4.2
#92/173Verified

Agents benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
Benchmarks in other categories (4)

Coding benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

~last/15below measured range (<41.1)Estimated
estimated from related benchmarks
~last/15below measured range (<41.1)Estimated
estimated from related benchmarks
~last/15below measured range (<41.1)Estimated
estimated from related benchmarks

Writing & chat benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

Vision benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

MMMU
day 0
~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/3~71.3%Estimated
estimated from related benchmarks
—
~last/9below measured range (<74.5%)Estimated
estimated from related benchmarks
—
Chartography
third-party
~last/23below measured range (<9.0%)Estimated
estimated from related benchmarks
—

Hard reasoning benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.