All
General
Coding
Reasoning
Multimodal
Safety
Specialized
Agentic
Language
Long Context
Speed
Text-to-Image
Image Editing
Text-to-Video
Image-to-Video
Generation Tokens/sec incl. Reasoning (RightRank Probe)113
Inter-Token Latency
Latency
Output Tokens/sec163
Output Tokens/sec (RightRank Probe)165
TTFT163
TTFT (RightRank Probe)180
Time to First Answer Token (RightRank Probe)100
Tool Call TTFT (RightRank Probe)169
Tool Call Total Time (RightRank Probe)169
Total Time (RightRank Probe)181
Speed
Composite performance across 9 benchmarks · Normalized 0–100 · At least 5 scores required · Ranked by average performance · Top 50 of 180 eligible models
| # | Model | Provider | Generation ... | Output Toke... | Output Toke... | TTFT | TTFT (Right... | Time to Fir... | Tool Call T... | Tool Call T... | Total Time ... | Avg | Coverage | Price | Value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | 365.5 tok/s | — | 547.3 tok/s | — | 569 ms | 569 ms | — | — | 1.6 s |
|
5/9 | $1.75/M | 51.7 | |
| 2 | Google: Gemini 2.5 Flash LiteRetiring | 242.2 tok/s | — | 284.0 tok/s | — | 263 ms | 263 ms | 306 ms | 313 ms | 1.8 s |
|
7/9 | $0.50/M | 180.7 | |
| 3 | Inception: Mercury 2 | Inception | 320.4 tok/s | — | 387.1 tok/s | — | 560 ms | 560 ms | 326 ms | 337 ms | 1.8 s |
|
7/9 | $1.00/M | 88.6 |
| 4 | Mistral: Ministral 3 3B 2512 | Mistral AI | 241.5 tok/s | — | 301.3 tok/s | — | 343 ms | 343 ms | 354 ms | 362 ms | 2.3 s |
|
7/9 | $0.20/M | 438.1 |
| 5 | Amazon: Nova Micro 1.0 | Amazon | 250.7 tok/s | — | 305.3 tok/s | — | 364 ms | 364 ms | 431 ms | 570 ms | 2.0 s |
|
7/9 | $0.18/M | 491.7 |
| 6 | Google: Gemini 3.1 Flash Lite Preview | 210.6 tok/s | — | 245.5 tok/s | — | 384 ms | 384 ms | 433 ms | 440 ms | 2.7 s |
|
7/9 | $1.75/M | 48.0 | |
| 7 | Google: Gemini 3.1 Flash Lite | 203.3 tok/s | — | 246.6 tok/s | — | 386 ms | 386 ms | 449 ms | 457 ms | 2.8 s |
|
7/9 | $1.75/M | 47.7 | |
| 8 | Inception: Mercury 2.5 | Inception | 418.7 tok/s | 731.3 tok/s | — | 2.6 s | — | — | 655 ms | 701 ms | 1.4 s |
|
6/9 | $0.19/M | 440.2 |
| 9 | Mistral: Voxtral Small 24B 2507 | Mistral AI | 147.4 tok/s | — | 165.7 tok/s | — | 292 ms | 292 ms | 513 ms | 518 ms | 2.8 s |
|
7/9 | $0.40/M | 203.3 |
| 10 | Amazon: Nova Lite 1.0 | Amazon | 173.5 tok/s | — | 193.1 tok/s | — | 351 ms | 351 ms | 346 ms | 674 ms | 3.4 s |
|
7/9 | $0.30/M | 270.5 |
| 11 | Mistral: Mistral Medium 3 | Mistral AI | 125.9 tok/s | — | 148.7 tok/s | — | 488 ms | 488 ms | 371 ms | 372 ms | 3.5 s |
|
7/9 | $2.40/M | 32.8 |
| 12 | Mistral: Mistral Medium 3.1 | Mistral AI | 124.8 tok/s | — | 151.0 tok/s | — | 518 ms | 518 ms | 403 ms | 404 ms | 2.9 s |
|
7/9 | $2.40/M | 32.8 |
| 13 | Mistral: Codestral 2508 | Mistral AI | 124.7 tok/s | — | 133.6 tok/s | — | 320 ms | 320 ms | 436 ms | 440 ms | 4.6 s |
|
7/9 | $1.20/M | 65.5 |
| 14 | Google: Gemini 2.5 FlashRetiring | 155.6 tok/s | — | 197.1 tok/s | — | 665 ms | 665 ms | 432 ms | 438 ms | 3.4 s |
|
7/9 | $2.80/M | 28.0 | |
| 15 | OpenAI: GPT-5.4 Nano | OpenAI | 161.1 tok/s | — | 195.6 tok/s | — | 481 ms | 481 ms | 572 ms | 720 ms | 3.1 s |
|
7/9 | $1.45/M | 53.9 |
| 16 | OpenAI: GPT-4o-mini | OpenAI | 136.0 tok/s | — | 153.9 tok/s | — | 533 ms | 533 ms | 376 ms | 449 ms | 4.4 s |
|
7/9 | $0.75/M | 103.2 |
| 17 | Amazon: Nova 2 Lite | Amazon | 170.1 tok/s | — | 209.9 tok/s | — | 735 ms | 735 ms | 510 ms | 525 ms | 3.5 s |
|
7/9 | $2.80/M | 27.6 |
| 18 | Mistral: Ministral 3 14B 2512 | Mistral AI | 107.8 tok/s | — | 116.3 tok/s | — | 314 ms | 314 ms | 427 ms | 437 ms | 5.1 s |
|
7/9 | $0.40/M | 193.1 |
| 19 | Qwen: Qwen3 VL 8B InstructHistorical | Alibaba | — | — | 152.6 tok/s | — | 420 ms | — | 538 ms | 607 ms | 4.3 s |
|
5/9 | $1.00/M | 77.0 |
| 20 | OpenAI: GPT-4.1 Mini | OpenAI | 157.0 tok/s | — | 178.4 tok/s | — | 486 ms | 486 ms | 612 ms | 713 ms | 3.8 s |
|
7/9 | $2.00/M | 38.4 |
| 21 | Google: Gemini 3.5 Flash Lite | 182.6 tok/s | 406.3 tok/s | 242.2 tok/s | 6.0 s | 683 ms | 683 ms | 395 ms | 402 ms | 3.3 s |
|
9/9 | $2.80/M | 27.3 | |
| 22 | Mistral: Devstral 2 2512 | Mistral AI | 119.7 tok/s | — | 147.6 tok/s | — | 521 ms | 521 ms | 529 ms | 536 ms | 3.4 s |
|
7/9 | $2.40/M | 31.8 |
| 23 | Cohere: Command A+ | Cohere | 102.2 tok/s | — | 98.2 tok/s | — | 180 ms | 1.8 s | 136 ms | 463 ms | 5.9 s |
|
7/9 | $1.80/M | 42.3 |
| 24 | OpenAI: GPT-3.5 Turbo | OpenAI | 111.5 tok/s | — | 127.5 tok/s | — | 422 ms | 422 ms | 575 ms | 653 ms | 3.2 s |
|
7/9 | $2.00/M | 37.9 |
| 25 | OpenAI: GPT-4o-mini (2024-07-18) | OpenAI | 128.4 tok/s | — | 146.8 tok/s | — | 511 ms | 511 ms | 530 ms | 574 ms | 4.2 s |
|
7/9 | $0.75/M | 101.0 |
| 26 | Qwen: Qwen3 VL 30B A3B Instruct | Alibaba | 112.2 tok/s | — | 131.3 tok/s | — | 481 ms | 481 ms | 573 ms | 644 ms | 3.0 s |
|
7/9 | $0.75/M | 100.8 |
| 27 | OpenAI: GPT-4.1 Nano | OpenAI | 155.8 tok/s | — | 194.6 tok/s | — | 596 ms | 596 ms | 764 ms | 828 ms | 3.4 s |
|
7/9 | $0.50/M | 150.9 |
| 28 | Qwen: Qwen3.5-Flash | Alibaba | 163.0 tok/s | — | 194.5 tok/s | — | 654 ms | 654 ms | 670 ms | 1.1 s | 3.7 s |
|
7/9 | $0.32/M | 228.7 |
| 29 | Mistral: Ministral 3 8B 2512 | Mistral AI | 81.2 tok/s | — | 84.9 tok/s | — | 279 ms | 279 ms | 429 ms | 436 ms | 7.4 s |
|
7/9 | $0.30/M | 247.1 |
| 30 | Qwen: Qwen3 30B A3B Instruct 2507 | Alibaba | 80.8 tok/s | — | 88.3 tok/s | — | 369 ms | 369 ms | 449 ms | 501 ms | 4.5 s |
|
7/9 | $0.40/M | 185.2 |
| 31 | Cohere: North Mini Code (free) | Cohere | — | — | 56.5 tok/s | — | 195 ms | — | 173 ms | 689 ms | 11.0 s |
|
5/9 | Free | — |
| 32 | OpenAI: GPT-4o (2024-05-13) | OpenAI | — | — | 165.6 tok/s | — | 729 ms | — | 672 ms | 744 ms | 4.3 s |
|
5/9 | $20.00/M | 3.7 |
| 33 | OpenAI: GPT-3.5 Turbo 16k | OpenAI | 117.6 tok/s | — | 154.4 tok/s | — | 723 ms | 723 ms | 679 ms | 753 ms | 3.1 s |
|
7/9 | $7.00/M | 10.5 |
| 34 | Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) | 157.3 tok/s | — | 210.2 tok/s | — | 926 ms | 926 ms | — | — | 3.7 s |
|
5/9 | $3.50/M | 20.9 | |
| 35 | Google: Gemini 3 Flash Preview | 137.2 tok/s | — | 172.7 tok/s | — | 855 ms | 855 ms | 690 ms | 698 ms | 3.8 s |
|
7/9 | $3.50/M | 20.9 | |
| 36 | Mistral: Mistral Medium 3.5 | Mistral AI | — | 166.7 tok/s | 127.4 tok/s | 634 ms | 548 ms | — | 664 ms | 671 ms | 3.3 s |
|
7/9 | $9.00/M | 8.1 |
| 37 | OpenAI: GPT-5.4 Mini | OpenAI | 117.4 tok/s | — | 135.4 tok/s | — | 639 ms | 639 ms | 548 ms | 665 ms | 4.7 s |
|
7/9 | $5.25/M | 13.9 |
| 38 | Perplexity: Sonar | Perplexity | 152.9 tok/s | — | 205.9 tok/s | — | 948 ms | 948 ms | — | — | 3.7 s |
|
5/9 | $2.00/M | 36.4 |
| 39 | Google: Gemini 3.8 Flash | 177.0 tok/s | — | 364.3 tok/s | — | 1.4 s | 3.2 s | 721 ms | 725 ms | 3.4 s |
|
7/9 | $4.50/M | 16.1 | |
| 40 | Google: Nano Banana 2 (Gemini 3.1 Flash Image) | 156.0 tok/s | — | 212.4 tok/s | — | 1.0 s | 1.0 s | — | — | 3.7 s |
|
5/9 | $3.50/M | 20.7 | |
| 41 | Qwen: Qwen3 Next 80B A3B InstructHistorical | Alibaba | 92.7 tok/s | 163.7 tok/s | 106.5 tok/s | 573 ms | 474 ms | 474 ms | 510 ms | 539 ms | 4.6 s |
|
9/9 | $1.20/M | 60.3 |
| 42 | Amazon: Nova Pro 1.0 | Amazon | 126.1 tok/s | — | 171.3 tok/s | — | 919 ms | 919 ms | 654 ms | 882 ms | 3.2 s |
|
7/9 | $4.00/M | 18.1 |
| 43 | Cohere: Command R7B (12-2024) | Cohere | 76.5 tok/s | — | 78.5 tok/s | — | 183 ms | 183 ms | — | — | 7.6 s |
|
5/9 | $0.19/M | 381.2 |
| 44 | OpenAI: GPT-6 Luna | OpenAI | 133.9 tok/s | — | 256.8 tok/s | — | 1.6 s | 2.1 s | 561 ms | 708 ms | 3.9 s |
|
7/9 | $0.60/M | 118.5 |
| 45 | SpaceXAI: Grok 4.20 | SpaceXAI | 89.0 tok/s | — | 99.6 tok/s | — | 699 ms | 699 ms | 428 ms | 436 ms | 6.7 s |
|
7/9 | $3.75/M | 18.9 |
| 46 | Qwen: Qwen3 VL 32B InstructHistorical | Alibaba | — | — | 92.7 tok/s | — | 512 ms | — | 713 ms | 808 ms | 4.7 s |
|
5/9 | $0.80/M | 88.7 |
| 47 | Qwen: Qwen3.6 Flash | Alibaba | 119.8 tok/s | — | 135.5 tok/s | — | 450 ms | — | 441 ms | 1.6 s | 5.0 s |
|
6/9 | $1.31/M | 53.6 |
| 48 | Google: Gemini 3.7 Flash | 168.2 tok/s | — | 447.7 tok/s | — | 2.0 s | 3.5 s | 965 ms | 972 ms | 3.5 s |
|
7/9 | $4.50/M | 15.6 | |
| 49 | OpenAI: GPT-4o | OpenAI | — | — | 158.3 tok/s | — | 895 ms | — | 914 ms | 989 ms | 4.5 s |
|
5/9 | $12.50/M | 5.6 |
| 50 | OpenAI: o3 Mini | OpenAI | 182.2 tok/s | — | 300.8 tok/s | — | 2.1 s | 2.1 s | 1.1 s | 1.3 s | 3.2 s |
|
7/9 | $5.50/M | 12.6 |
Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) leads on raw performance, but Amazon: Nova Micro 1.0 delivers 851% more performance per dollar. That extra 4.5 points costs $0.35/M per point.
Access this data
JSON
GET /api/v1
[
{
"rank": 1,
"model": "Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)",
"provider": "Google",
"avg_score": 90.5,
"cost": 1.75,
"cost_unit": "million_tokens",
"value": 51.7
},
{
"rank": 2,
"model": "Google: Gemini 2.5 Flash Lite",
"provider": "Google",
"avg_score": 90.3,
"cost": 0.5,
"cost_unit": "million_tokens",
"value": 180.7
},
{
"rank": 3,
"model": "Inception: Mercury 2",
"provider": "Inception",
"avg_score": 88.6,
"cost": 1.0,
"cost_unit": "million_tokens",
"value": 88.6
}
]
Curl
$ curl -s https://rightrank.ai/api/v1/rankings/speed.json | jq '.[:3]'
CLI
brew install rightrank
$ rightrank top speed --limit 5 $ rightrank compare claude-opus-4.6 gpt-5.4-pro --category speed $ rightrank value speed # best performance per dollar
Claude Code Skill
Skill
# In Claude Code, use the RightRank skill: /rightrank best model for speed /rightrank compare top 5 by value /rightrank cheapest model scoring above 80 on speed