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// alternatives · October 2026

DeepSeek V4.1 Flash 1017 alternatives

Cheaper models that come close, budget substitutes, and the cheapest step up — chosen on published LiveBench scores and live list price, never on our opinion. Every model here supports tool calling and image input, as DeepSeek V4.1 Flash 1017 does.

The closest cheaper alternative to DeepSeek V4.1 Flash 1017 is Claude Haiku 5.5 — 4.2 points lower overall, 62% cheaper on LiveBench and list price.

DeepSeek V4.1 Flash 1017: 74.0 overall on LiveBench, $0.525 per 1M blended tokens, about $194.40/mo for a RAG assistant.

Cheaper, close in quality

Lower list price and within 5 points of DeepSeek V4.1 Flash 1017 on LiveBench overall — the switches least likely to be noticed by users. Strongest first.

ModelOverallvs DeepSeek V4.1 Flash 1017Blended / 1MRAG assistantContext
Claude Haiku 5.5anthropic

4.2 points lower overall, 62% cheaper. Head to head →

69.8−4.2$0.200−62%$74.00/mo1M

Budget substitutes

Within 15 points of DeepSeek V4.1 Flash 1017, cheapest first — and only models that are the best score at their price, so nothing here is beaten by a cheaper pick. Worth testing for high-volume traffic where the last few points matter less than the bill.

ModelOverallvs DeepSeek V4.1 Flash 1017Blended / 1MRAG assistantContext
GPT-6 Lunaopenai

9.4 points lower overall, 62% cheaper. Head to head →

64.6−9.4$0.200−62%$74.00/mo1.1M
MiniMax M3.1 Flashminimax

7.1 points lower overall, 50% cheaper. Head to head →

66.9−7.1$0.262−50%$102.00/mo1.0M

Match it on one task for less

For each LiveBench category, the cheapest model that scores at least as well as DeepSeek V4.1 Flash 1017 there. Useful when your workload is mostly one kind of task.

CategoryCheapest matchScoreBlended / 1M
BrowserClaude Haiku 5.569.5 vs 67.2$0.200−62%
ResearchClaude Haiku 5.581.9 vs 79.5$0.200−62%

Stronger options, cheapest first

Models that beat DeepSeek V4.1 Flash 1017 on LiveBench overall, ordered by what the upgrade costs.

ModelOverallvs DeepSeek V4.1 Flash 1017Blended / 1MRAG assistantContext
GPT-6.1 Terraopenai

3.8 points higher overall, 281% more expensive. Head to head →

77.8+3.8$2.00$720.00/mo1.1M
Gemini 4 Argongoogle

5.3 points higher overall, 662% more expensive. Head to head →

79.3+5.3$4.00$1,440/mo1.0M
GPT-6.1 Solopenai

10.1 points higher overall, 662% more expensive. Head to head →

84.1+10.1$4.00$1,440/mo1.1M
Claude Sonnet 5.5anthropic

6.0 points higher overall, 662% more expensive. Head to head →

80.0+6.0$4.00$1,440/mo1M
Claude Opus 5.5anthropic

11.1 points higher overall, 1424% more expensive. Head to head →

85.1+11.1$8.00$2,880/mo1M

DeepSeek V4.1 Flash 1017 alternatives FAQ

What is the best alternative to DeepSeek V4.1 Flash 1017?

Claude Haiku 5.5. 4.2 points lower overall, 62% cheaper. Every suggestion supports tool calling and image input, like DeepSeek V4.1 Flash 1017.

What is the cheapest alternative to DeepSeek V4.1 Flash 1017?

Claude Haiku 5.5 at $0.200 per 1M blended tokens, scoring 69.8 overall against DeepSeek V4.1 Flash 1017's 74.0. On a RAG assistant at 100K requests a month that is $74.00 instead of $194.40.

Which model is better than DeepSeek V4.1 Flash 1017?

The cheapest model that scores higher overall on LiveBench is GPT-6.1 Terra — 3.8 points higher overall, 281% more expensive.

Is there a cheaper model that matches DeepSeek V4.1 Flash 1017 on specific tasks?

Yes, in 2 of the seven LiveBench categories. For example, browser: Claude Haiku 5.5 (69.5 vs 67.2); research: Claude Haiku 5.5 (81.9 vs 79.5).

How alternatives are chosen

  • Scores — LiveBench release 2026-10-25. Only models with a published run are suggested on quality; a missing model means “not evaluated”, not “worse”.
  • Prices — live list prices from OpenRouter, blended 3:1 input:output. Monthly figures price a RAG assistant with the published cached-input rate where there is one.
  • Same job — suggestions must support every capability DeepSeek V4.1 Flash 1017 has among tool calling and image input. Other listings of the same model (free or batch tiers) are variants, not alternatives, and are left out.

A few points on a public benchmark can hide large differences on your own tasks. Shortlist here, then decide with an eval — how to build one.