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DeepSeek V4.1 Flash vs GPT-6.1 Sol

At a Glance

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Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#8 of 5783.3 score · 2/3 sources · provisional · missing LMArena Text · full-core range 55.5–88.8#5 of 5785.9 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#6 of 27$0.022 per LiveBench case#15 of 27$0.104 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.9#1 of 2771.7 score · 2/3 sources · provisional · missing LMArena Text · full-core range 57.8–74.5#5 of 2760.1 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.15DeepSeek ↗ · Sep 10, 2026$2.00Openai ↗ · Sep 29, 2026
Output priceFrom · USD / 1M tokens$0.60Deepinfra ↗ · Oct 19, 2026$10.00Openai ↗ · Sep 29, 2026
Context windowMaximum documented tokens1,049K1,050K
Model facts checkedSep 10, 2026View model evidence →Sep 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkDeepSeek-V4.1-FlashGPT-6.1 Sol
ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader94.5096% of row best · percent · DeepSeek V4.1 Flash (Max)98.50100% of row best · percent · GPT-6.1 Sol (XHigh)
ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader72.9277% of row best · percent · DeepSeek V4.1 Flash (Max)94.17100% of row best · percent · GPT-6.1 Sol (Max)
LiveBench2026-06-25-90f8d44da965 · overall · leader83.2097% of row best · percent · deepseek-v4.1-flash-max · 36,355 output tokens / case86.14100% of row best · percent · gpt-6.1-sol-max · 10,375 output tokens / case
ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified81.0398% of row best · points · DeepSeek V4.1 Flash (max) · 25,012 output tokens / case82.44100% of row best · points · GPT-6.1 Sol (max) · 21,221 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins3 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Quality Versus Estimated Output Cost

Full ranking →
Efficiency FrontierLiveBench overall · output estimate
Upper-left is better
xAIZ.aiOpenAIMiniMaxDeepSeekMistral AIQwenGoogle DeepMindMoonshot AIAnthropic
LiveBench quality versus score-adjusted output costEach dot is a reviewed major-model configuration and is colored by developer. Higher means a better LiveBench overall score. Farther left means lower estimated output cost after adjusting by the score. A dotted line connects the non-dominated frontier observations. When models are selected, their sourced families remain prominent, unrelated observations retain their developer colors at lower opacity, and an orange ring identifies each selected model.$0.0050$0.010$0.050$0.100$0.500$1.006873798489Grok Build 0.1GLM 5.3 FlashGPT-6 Luna (max)DeepSeek V4.1 Flash (max)GPT-6.1 Sol (max)GPT-6 Astra (max)Claude Fable 5.1Score-adjusted output cost per LiveBench case (log) →LiveBench overall →
The dotted frontier connects measured, non-dominated major-model observations. With a selection, sourced families stay prominent, unrelated observations retain their developer colors at lower opacity, and orange rings mark the selected model or models. Family lines connect models only when their sourced family and generation match. Cost is estimated from published output tokens and the lowest current USD output rate; it excludes input, caching, batch discounts, and provider-specific benchmark execution details.

Side-by-Side Facts

FieldDeepSeek-V4.1-FlashGPT-6.1 Sol
DeveloperDeepSeekOpenAI
FamilyDeepseek V4 1Gpt 6
ModelDeepSeek-V4.1-FlashGPT-6.1 Sol
VersionDeepSeek-V4.1-FlashGPT-6.1 Sol
Lifecycleactiveactive
Released2026-09-102026-09-29
Knowledge cutoffUnknown2026-04-30
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,049K1,050K
Total parameters763.2BUnknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard)Openai (Standard), Openrouter (Standard)
Capabilitiesagents, chat, fim, generation, reasoning, responses, structured_outputs, tools, visionchat, computer-use, generation, reasoning, tools
Architecture designCausal Encoder-Decoder (20 encoder + 20 decoder layers)Unknown
Backbone parameters552000000000 parametersUnknown
Data residencyUnknownUS, EU
Active parameters during decode16000000000 parametersUnknown
Default snapshotUnknowngpt-6.1-sol
Maximum input tokensUnknown922000
Multi-agentUnknownResponses API beta
Active parameters during prefill8000000000 parametersUnknown
Pre-training corpus45000000000000 tokensUnknown
Reasoning effortUnknownlow, medium, high, xhigh, max
Reasoning effort range1–100Unknown
Regional processing premiumUnknown10% where available
Routed experts per MoE layer384 expertsUnknown
Routed experts per token6 expertsUnknown
Supported API routesUnknownv1/responses, v1/chat/completions, v1/batch
Supported toolsUnknownweb_search, file_search, image_generation, code_interpreter, hosted_shell, apply_patch, skills, computer_use, mcp, tool_search
Tier 1 rate limitsUnknown500 RPM; 500,000 TPM
Tier 2 rate limitsUnknown5,000 RPM; 1,000,000 TPM
Tier 3 rate limitsUnknown5,000 RPM; 2,000,000 TPM
Tier 4 rate limitsUnknown10,000 RPM; 4,000,000 TPM
Tier 5 rate limitsUnknown15,000 RPM; 40,000,000 TPM
Tool calling routeUnknownResponses API only
Transformer layers40 layersUnknown

DeepSeek V4.1 Flash Capabilities

agentschatfimgenerationreasoningresponsesstructured outputstoolsvision
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4.1-Flash

GPT-6.1 Sol Capabilities

chatcomputer-usegenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-6.1-sol

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Primary Evidence

Sources and Freshness

deepseek-ai/DeepSeek-V4.1-Flash developer model repositoryDeepSeek · observed Sep 10, 2026GPT-6.1 Sol Model | OpenAI APIOpenAI · observed Sep 29, 2026ARC-AGI-1 verified-v1-613c385b0c93 score tableARC Prize Foundation · observed Oct 15, 2026ARC-AGI-2 verified-v2-be40992860f9 score tableARC Prize Foundation · observed Oct 15, 2026LiveBench 2026-06-25-90f8d44da965 score tableLiveBench · observed Oct 15, 2026LiveBench 2026-06-25-90f8d44da965 token accountingLiveBench · observed Oct 15, 2026ToneBench 2026-10-17-10-task-e9c76358afb2 score tableTowards AI · observed Oct 17, 2026

Questions

DeepSeek V4.1 Flash vs GPT-6.1 Sol FAQs

Is DeepSeek V4.1 Flash or GPT-6.1 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4.1 Flash and GPT-6.1 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4.1 Flash or GPT-6.1 Sol?+

DeepSeek V4.1 Flash is $0.15 and GPT-6.1 Sol is $2.00 per million tokens, so DeepSeek V4.1 Flash is cheaper on this metric. DeepSeek V4.1 Flash is $0.60 and GPT-6.1 Sol is $10.00 per million tokens, so DeepSeek V4.1 Flash is cheaper on this metric.

Which has a larger context window, DeepSeek V4.1 Flash or GPT-6.1 Sol?+

GPT-6.1 Sol has the larger sourced context window. DeepSeek V4.1 Flash supports 1,048,576 tokens and GPT-6.1 Sol supports 1,050,000 tokens.

Which performs better in benchmarks, DeepSeek V4.1 Flash or GPT-6.1 Sol?+

GPT-6.1 Sol leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can DeepSeek V4.1 Flash or GPT-6.1 Sol be self-hosted?+

DeepSeek V4.1 Flash is documented as self-hostable; GPT-6.1 Sol is documented as not self-hostable. DeepSeek V4.1 Flash is open weight; GPT-6.1 Sol is not marked open weight.

Can DeepSeek V4.1 Flash and GPT-6.1 Sol understand images?+

DeepSeek V4.1 Flash is documented with image input; GPT-6.1 Sol is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4.1 Flash or GPT-6.1 Sol?+

DeepSeek V4.1 Flash has the larger sourced maximum output. DeepSeek V4.1 Flash supports 393,216 tokens and GPT-6.1 Sol supports 128,000 tokens.

Do DeepSeek V4.1 Flash and GPT-6.1 Sol support reasoning and tool use?+

DeepSeek V4.1 Flash: reasoning, tool calling, and image input. GPT-6.1 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4.1 Flash or GPT-6.1 Sol?+

DeepSeek V4.1 Flash has 3 sourced provider routes; GPT-6.1 Sol has 2, so DeepSeek V4.1 Flash has broader tracked availability.

Which offers better value, DeepSeek V4.1 Flash or GPT-6.1 Sol?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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