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Cheapest reasoning models

Models flagged as reasoning-capable, sorted by input cost, for maths, planning and multi-step debugging.

Current leader: Gemma 4 26b A4b It (Google Gemini). Refreshed 2026-10-28 12:57 UTC.

#ModelProviderInput $/1MOutput $/1MCached $/1MContext
1Gemma 4 26b A4b ItGoogle Geminifreefree—262K
2Gemma 4 31b ItGoogle Geminifreefree—262K
3Nemotron 3.5 Lightning 30b A3bPerplexity$0.011$0.17$0.0011—
4Gemma 4 E4B ItDeepInfra$0.02$0.1—131K
5Qwen3 4b Fp8Novita AI$0.03$0.03—128K
6Qwen3 8b Fp8Novita AI$0.035$0.138—128K
7GPT Oss 20bNovita AI$0.04$0.15—131K
8Qwen TurboAlibaba DashScope$0.05$0.2—129K
9Qwen TurboAlibaba DashScope$0.05$0.2—1M
10Qwen TurboAlibaba DashScope$0.05$0.2—1M
11Qwen TurboAlibaba DashScope$0.05$0.2—1M
12GPT 5 NanoOpenAI$0.05$0.4$0.005272K
13GPT 5 NanoOpenAI$0.05$0.4$0.005272K
14GPT 5 NanoAzure OpenAI$0.05$0.4$0.005272K
15Nemotron 3 Nano 30B A3BDeepInfra$0.05$0.2$0.025262K
16Nemotron Lightning 3p5 30b A3bFireworks AI$0.05$0.2$0.01262K
17GPT Oss 120bNovita AI$0.05$0.25—131K
18Nemotron 3 Nano 30b A3bNovita AI$0.05$0.2—262K
19Qwen3 30b A3b Fp8Cloudflare Workers AI$0.051$0.335—33K
20GPT 5 NanoAzure OpenAI$0.055$0.44$0.0055272K
21GLM 4.7 FlashDeepInfra$0.06$0.4$0.01203K
22Ling 3.0 FlashDeepInfra$0.06$0.18$0.012131K
23NVIDIA Nemotron 3 Nano 30B A3BNebius$0.06$0.24—262K
24Nemotron 3 Nano OmniNebius$0.06$0.24—262K
25Nemotron 3 5 LightningNebius$0.06$0.24—1.0M
26Deepseek R1 0528 Qwen3 8bNovita AI$0.06$0.09—128K
27Ling 3.0 Flash FastNovita AI$0.06$0.18$0.012262K
28Ling 3.0 FlashNovita AI$0.06$0.18$0.012262K
29Glm 4.7 FlashCloudflare Workers AI$0.06$0.4—131K
30Gemma 4 26B A4B ItDeepInfra$0.07$0.34—262K
31GPT Oss 20bFireworks AI$0.07$0.3$0.035131K
32Ernie 4.5 21B A3b ThinkingNovita AI$0.07$0.28—131K
33Glm 4.7 FlashNovita AI$0.07$0.4$0.01200K
34GPT Oss 20bGroq$0.075$0.3$0.037131K
35GPT Oss Safeguard 20bGroq$0.075$0.3$0.037131K
36NVIDIA Nemotron 3.5 LightningDeepInfra$0.08$0.2$0.04262K
37DeepSeek V4 Flash 0731DeepInfra$0.08$0.18$0.0161.0M
38Openai.gpt Oss 20b 1:0Amazon Bedrock$0.084$0.36—128K
39NVIDIA Nemotron 3 Super 120B A12BDeepInfra$0.085$0.4—262K
40Gemma 4 31B It TurboDeepInfra$0.09$0.34$0.05262K
41DeepSeek V4 FlashDeepInfra$0.09$0.18$0.0181.0M
42Qwen3 30b A3b Fp8Novita AI$0.09$0.45—41K
43Claude Haiku 5 5Anthropic$0.1$0.5$0.011M
44Gemini 2.5 Flash LiteGoogle Gemini$0.1$0.4$0.011.0M
45Muse Spark 1.2 ContributorMeta$0.1$0.2$0.0021.0M
46Muse Spark 1.3 ContributorMeta$0.1$0.2$0.0021.0M
47GPT 6 LunaOpenAI$0.1$0.5$0.01922K
48GPT 6 LunaAzure OpenAI$0.1$0.5$0.01922K
49GPT 6 LunaAzure OpenAI$0.1$0.5$0.01922K
50GPT Oss 120bBaseten$0.1$0.5$0.1128K
51Claude Haiku 5 5Amazon Bedrock$0.1$0.5$0.011M
52Gemma 4 26b A4b ItCloudflare Workers AI$0.1$0.3—256K
53Qwen3.6 35B A3BDeepInfra$0.1$0.95—262K
54Seed 2.0 MiniDeepInfra$0.1$0.4$0.02256K
55Cosmos3 Super ReasonerNebius$0.1$0.3—262K
56Qwen3 32b Fp8Novita AI$0.1$0.45—41K
57Mimo V2 FlashNovita AI$0.11$0.33$0.024262K
58Anthropic.claude Haiku 5 5Amazon Bedrock$0.12$0.6$0.0121M
59Deepseek V4 Flash 0731Perplexity$0.13$0.26$0.028—
60DeepSeek V4 Flash 0731Baseten$0.13$0.26$0.0281.0M

Other use cases

Frequently asked

› Which reasoning model is the cheapest?

Gemma 4 26b A4b It from Google Gemini currently leads this list, at $0/1M input tokens. Rankings are recomputed from the raw dataset on every refresh, so they track price cuts automatically.

› How are these rankings calculated?

Each use case applies a capability filter (context size, vision, tool calling, cache pricing) and then ranks the surviving models by the blended cost that profile actually pays. See the methodology page for the exact formulas.

› Is the cheapest model always the right choice?

No. Check the capability flags and context window, and benchmark quality on your own data — the cheapest model that fails your evals costs more than the second cheapest that passes them.