Inference availability
Providers Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
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Specification
Capabilities Recorded from the source catalog and provider listings.
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Reasoning
Unknown
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Tool calling
Unknown
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Structured output
Unknown
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Attachments
Unknown
✓
Vision input
Yes
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Open weights
Unknown
Model family Not documented
Knowledge cutoff Not documented
License Not documented
Release date Not documented
Model ID openai/o4-mini:batch
Published evaluations
Benchmarks Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
Benchmark registry
Benchmark profile
Design Arena: w…Design Arena: website
Design Arena: c…Design Arena: codecategories
Design Arena: g…Design Arena: gamedev
Design Arena: d…Design Arena: dataviz
Design Arena: u…Design Arena: uicomponent
Design Arena: 3dDesign Arena: 3d
This model — Design Arena: website: 998 elo (9.7th percentile)
This model — Design Arena: codecategories: 991 elo (6.6th percentile)
This model — Design Arena: gamedev: 1026 elo (12.7th percentile)
This model — Design Arena: dataviz: 1005 elo (9.7th percentile)
This model — Design Arena: uicomponent: 998 elo (11.2th percentile)
This model — Design Arena: 3d: 882 elo (3.2th percentile)
Each axis is this model's percentile among the 6 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.
Design Arena: website
#158 of 175
762.0
median 1202.0
1359.0
Design Arena: codecategories
#156 of 167
804.0
median 1198.0
1389.0
Design Arena: gamedev
#145 of 166
796.0
median 1193.5
1414.0
Design Arena: dataviz
#149 of 165
871.0
median 1198.0
1366.0
Design Arena: uicomponent
#143 of 161
782.0
median 1205.0
1394.0
Design Arena: 3d
#152 of 157
865.0
median 1190.0
1426.0
Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.
Cost against capability
Price and performance Listed input price plotted against Design Arena: website, the benchmark with the widest published coverage that this model appears in.
0
720
1441
$0.1
$1
$10
Qwen: Qwen3.6 Plus — $0.325/M, score 1253.0
Z.ai: GLM 5 — $0.6/M, score 1260.0
Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 1077.0
DeepSeek: DeepSeek V3.2 Exp — $0.27/M, score 1191.0
Qwen: Qwen3 235B A22B — $0.455/M, score 1043.0
Gemini 3.5 Flash — $1.5/M, score 1275.0
Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 1291.0
GPT-4.1 mini — $0.4/M, score 1010.0
DeepSeek V4 Pro — $0.435/M, score 1247.0
Claude Sonnet 5 — $2/M, score 1289.0
Mistral: Ministral 3 8B 2512 — $0.15/M, score 1077.0
Gemini 3.1 Flash Lite Preview — $0.25/M, score 1095.0
Anthropic: Claude Fable 5.1 (batch) — $5/M, score 1322.0
Gemini 3.7 Flash — $0.75/M, score 1315.0
Muse Spark 1.3 — $1.25/M, score 1359.0
Z.ai: GLM 5.1 — $0.966/M, score 1290.0
OpenAI: GPT-5.2 (batch) — $0.875/M, score 1207.0
Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 1267.0
Mistral: Mistral Large 3 2512 — $0.5/M, score 1175.0
DeepSeek V3.2 — $0.18/M, score 1187.0
Anthropic: Claude Opus 4.7 — $5/M, score 1307.0
Google: Gemini 3.5 Flash (batch) — $0.75/M, score 1275.0
Mistral: Codestral 2508 — $0.3/M, score 1025.0
Inception: Mercury 2 — $0.25/M, score 1035.0
Z.ai: GLM 4.7 Flash — $0.061/M, score 1206.0
Gemini 3.6 Flash — $0.75/M, score 1312.0
Claude Fable 5 — $10/M, score 1310.0
Z.ai: GLM 5.3 Flash — $0.15/M, score 1291.0
MiniMax: MiniMax M3 — $0.3/M, score 1271.0
Google: Gemini 2.5 Flash (batch) — $0.15/M, score 1127.0
Anthropic: Claude Fable 5.1 — $10/M, score 1322.0
Z.ai: GLM 5V Turbo — $1.2/M, score 1243.0
MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 1290.0
Inkling — $1.87/M, score 1226.0
OpenAI: gpt-oss-20b (batch) — $0.05/M, score 865.0
Muse Spark 1.1 — $1.25/M, score 1282.0
MiMo-V2.5 — $0.14/M, score 1279.0
MoonshotAI: Kimi K2 0711 — $0.57/M, score 1063.0
Kimi K2 Thinking — $0.4/M, score 1125.0
Qwen: Qwen3.8 Max (0803) — $2/M, score 1295.0
Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 1145.0
GPT-5.1 — $1.25/M, score 1199.0
Google: Gemini 3.8 Flash (batch) — $0.375/M, score 1315.0
Google: Gemini 3.7 Flash (batch) — $0.375/M, score 1315.0
Z.ai: GLM 5.3 (batch) — $0.7/M, score 1319.0
DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 1251.0
OpenAI: GPT-5.5 (batch) — $2.5/M, score 1269.0
MoonshotAI: Kimi K3 (batch) — $3/M, score 1354.0
Anthropic: Claude Opus 4.6 (batch) — $2.5/M, score 1304.0
OpenAI: GPT-5 Nano (batch) — $0.025/M, score 1114.0
Anthropic: Claude Sonnet 5 (batch) — $1/M, score 1289.0
Anthropic: Claude Fable 5 (batch) — $5/M, score 1310.0
OpenAI: GPT-5 (batch) — $0.625/M, score 1197.0
Google: Gemini 2.5 Pro (batch) — $0.625/M, score 1179.0
Anthropic: Claude Opus 4 — $15/M, score 1177.0
GPT OSS 120B — $0.03/M, score 980.0
OpenAI: gpt-oss-120b (batch) — $0.15/M, score 980.0
Mistral: Codestral 2508 (batch) — $0.15/M, score 1025.0
OpenAI: o3 (batch) — $1/M, score 1048.0
OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 1010.0
OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 985.0
SpaceXAI: Grok 4.6 — $2/M, score 1306.0
DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 1199.0
o3 — $2/M, score 1048.0
Gemini 3.1 Pro Preview — $2/M, score 1265.0
Qwen: Qwen3 Max — $0.78/M, score 1131.0
GPT-4.1 — $2/M, score 1051.0
Z.ai: GLM 5.2 (batch) — $0.7/M, score 1307.0
Google: Gemini 3.6 Flash (batch) — $0.375/M, score 1312.0
Z.ai: GLM 5.3 — $1.4/M, score 1319.0
Anthropic: Claude Opus 4.8 — $5/M, score 1267.0
SpaceXAI: Grok 4.3 — $1.25/M, score 1206.0
Gemini 3 Flash Preview — $0.5/M, score 1208.0
MiniMax: MiniMax M3 (batch) — $0.3/M, score 1271.0
Gemini 3.8 Flash — $0.75/M, score 1315.0
NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 1144.0
MiniMax: MiniMax M2.7 — $0.3/M, score 1258.0
Kimi K2.6 — $0.95/M, score 1282.0
GPT-5.2 — $1.75/M, score 1207.0
Kimi K3 — $3/M, score 1354.0
Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 1202.0
Claude Opus 5 — $5/M, score 1320.0
OpenAI: GPT-4.1 (batch) — $1/M, score 1051.0
Claude Opus 5 (batch) — $2.5/M, score 1320.0
SpaceXAI: Grok 4.5 — $2/M, score 1296.0
Google: Gemini 3 Flash Preview (batch) — $0.25/M, score 1208.0
Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 1175.0
OpenAI: GPT-5.1 (batch) — $0.625/M, score 1199.0
GPT-5.1 Codex — $1.07/M, score 1174.0
Anthropic: Claude Opus 4.1 (batch) — $7.5/M, score 1189.0
Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 1307.0
Mistral: Mistral Medium 3 — $0.4/M, score 1091.0
MiniMax: MiniMax M2 — $0.255/M, score 1155.0
Anthropic: Claude Sonnet 4.5 — $3/M, score 1202.0
Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 1265.0
Mistral: Mistral Medium 3.1 — $0.4/M, score 1145.0
Anthropic: Claude Opus 4.1 — $15/M, score 1189.0
MiMo-V2.5-Pro — $0.435/M, score 1285.0
Thinking Machines: Inkling (batch) — $1/M, score 1226.0
GPT-5.5 — $5/M, score 1269.0
OpenAI: GPT-5.4 (batch) — $1.25/M, score 1232.0
Anthropic: Claude Sonnet 4.6 — $3/M, score 1297.0
Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 1297.0
DeepSeek V4 Flash 0731 — $0.05/M, score 1251.0
GPT-5 — $1.25/M, score 1197.0
Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 1135.0
OpenAI: GPT-5 Mini (batch) — $0.125/M, score 1137.0
Gemini 2.5 Pro — $1.25/M, score 1179.0
Qwen: Qwen3 Coder 480B A35B — $0.3/M, score 1171.0
Mistral: Mistral Small 3.2 24B — $0.075/M, score 908.0
Anthropic: Claude Opus 4.5 (batch) — $2.5/M, score 1259.0
OpenAI: o4 Mini (batch) — $0.55/M, score 998.0
Qwen: Qwen3.7 Plus — $0.32/M, score 1282.0
SpaceXAI: Grok 4.3 (batch) — $1/M, score 1206.0
o4-mini — $1.1/M, score 998.0
DeepSeek Chat — $0.147/M, score 1132.0
Nemotron 3 Ultra 550B A55B — $0.5/M, score 1144.0
Anthropic: Claude Sonnet 4 — $3/M, score 1158.0
SpaceXAI: Grok 4.20 — $1.25/M, score 1242.0
Hy3 — $0.066/M, score 1194.0
GPT-5.1 Codex mini — $0.22/M, score 1123.0
GPT OSS 20B — $0.02/M, score 865.0
OpenAI: GPT-4o (batch) — $1.25/M, score 843.0
GPT-5.3 Codex — $1.75/M, score 1175.0
Z.ai: GLM 4.6 — $0.43/M, score 1187.0
GPT-5 Mini — $0.25/M, score 1137.0
GPT-4o — $2.5/M, score 843.0
Kimi K2.7 Code — $0.95/M, score 1279.0
Gemini 2.5 Flash — $0.3/M, score 1127.0
Muse Spark 1.2 — $1.25/M, score 1322.0
DeepSeek V4 Flash — $0.15/M, score 1220.0
GPT-4.1 nano — $0.1/M, score 985.0
GPT-5.4 — $2.5/M, score 1232.0
Solar Pro 4 — $0.3/M, score 1188.0
Kimi K2.5 — $0.3/M, score 1261.0
Trinity Large Thinking — $0.25/M, score 1149.0
MoonshotAI: Kimi K2 0905 — $0.6/M, score 1120.0
Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 943.0
Z.ai: GLM 5.2 — $0.966/M, score 1307.0
Qwen: Qwen3.7 Max — $1.475/M, score 1285.0
Qwen: Qwen3.5 Plus 2026-02-15 — $0.26/M, score 1200.0
MiniMax: MiniMax M2.1 — $0.3/M, score 1214.0
Z.ai: GLM 4.7 — $0.4/M, score 1238.0
Mistral: Ministral 3 3B 2512 — $0.1/M, score 1040.0
Amazon: Nova Premier 1.0 — $2.5/M, score 847.0
DeepSeek: DeepSeek V3.1 — $0.25/M, score 1135.0
Z.ai: GLM 4.5 — $0.6/M, score 1182.0
Meta: Llama 4 Maverick — $0.2/M, score 883.0
Nex AGI: Nex-N2-Pro — $0.25/M, score 1236.0
Z.ai: GLM 5 Turbo — $1.2/M, score 1278.0
Qwen: Qwen3.5 397B A17B — $0.55/M, score 1203.0
MiniMax: MiniMax M2.5 — $0.3/M, score 1235.0
Anthropic: Claude Opus 4.6 — $5/M, score 1304.0
Mistral: Ministral 3 14B 2512 — $0.2/M, score 1093.0
Anthropic: Claude Opus 4.5 — $5/M, score 1259.0
Anthropic: Claude Haiku 4.5 — $1/M, score 1135.0
Qwen: Qwen3 Coder 30B A3B Instruct — $0.07/M, score 1100.0
Z.ai: GLM 4.5 Air — $0.13/M, score 1159.0
Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 1065.0
Qwen: Qwen3 235B A22B Instruct 2507 — $0.22/M, score 1070.0
DeepSeek: R1 0528 — $0.5/M, score 1161.0
Qwen: Qwen3 30B A3B — $0.12/M, score 967.0
Meta: Llama 4 Scout — $0.1/M, score 762.0
Amazon: Nova Pro 1.0 — $0.8/M, score 808.0
GPT-5 Nano — $0.05/M, score 1114.0
Step 3.7 Flash — $0.185/M, score 1206.0
OpenAI: o4 Mini (batch)
Input price per million tokens (log scale)
Elo
The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.
Catalog activity
Change log Field-level changes detected between successful source imports.
Full change log No changes recorded This record has not changed within the retained import history.
Provenance
Sources & verification Every figure on this page traces back to one of these records.
Methodology
Last verified Sep 11, 2026
Status Source-linked
Confidence Medium
Catalog source OpenRouter
Public API
Use this record Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
API documentation
Endpoint Copy
GET https://model.kyssta.lol/api/v1/models/openai/o4-mini:batchcurl Copy
curl "https://model.kyssta.lol/api/v1/models/openai/o4-mini:batch"
Common questions
Frequently asked questions Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
What is OpenAI: o4 Mini (batch)?
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning. It is published by OpenAI and catalogued here from OpenRouter.
What is the context length of OpenAI: o4 Mini (batch)?
OpenAI: o4 Mini (batch) accepts up to 200K tokens of context and returns up to 100K output tokens.
Does OpenAI: o4 Mini (batch) support tool calling and structured output?
Provider catalogs list support for image input.
