MODEL PROOF

DeepSeek V3.1

BETTER VALUE OPTION

A stored alternative has an equal-or-higher measured score and an equal-or-lower price.

$0.453 / 1M tokens Balanced · 3 tokens in per 1 out

Price under confirmation since 2026-10-12. Upstream lists another price for this model now, or other prices from its sellers. What is shown is the last we published; the new figures are published once a second day shows the same values. · Serving precision differs between offers.

GLM 5.3 Flash · Δ score 51.4 points · 48% lower measured price · $0.238 / 1M tokens (Price under confirmation since Oct 12, 2026)

Gemma 4 31B is a further stored option with these losses: 33K → 16K max output

Independent LMArena score
1,419.7 ± 6.04 · 14,610 votes
Context window
163.84K
Maximum output
32.77K
Input modalities
text
Output modalities
text
Published input price
$0.270 / 1M tokens
Published output price
$1.00 / 1M tokens
Pricing kind
fixed

Inspect complete billing conditions and endpoint terms below.

Price from SiliconFlow: the cheapest offer that is serving, at standard delivery, with at least 90% of the reference context and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.

Price under confirmation since 2026-10-12 Upstream lists another price for this model now, or other prices from its sellers. What is shown is the last we published; the new figures are published once a second day shows the same values.

Cheaper right now: $0.425/M at DeepInfra — 4-bit It does not pass the like-for-like test, so it never sets a rank.

Every price dimension · USD per million tokens
Input$0.270/M
Output$1.00/M
Cached inputUnknown/M
Cache writeUnknown/M
Cache write 1hUnknown/M
ReasoningUnknown/M

Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.270/M from SiliconFlow.

5 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

SellerInputOutputPrecisionUptime (1d)
DeepInfradeepinfra/fp4
Endpoint terms
Cached input /M
$0.130
Context limit
163,840 tokens
Output limit
32,768 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
99.97%
$0.250 $0.950 fp4 99.93%
SiliconFlowsiliconflow/fp8
Endpoint terms
Cached input /M
Unknown
Context limit
163,840 tokens
Output limit
147,456 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
98.21%
$0.270 $1.00 fp8 96.46%
CoreWeavecoreweave/fp8
Endpoint terms
Cached input /M
$0.550
Context limit
161,000 tokens
Output limit
144,900 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
100.00%
$0.550 $1.65 fp8 97.34%
Maramara
Endpoint terms
Cached input /M
Unknown
Context limit
131,072 tokens
Output limit
117,964 tokens
Tools
Not listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
97.22%
$0.600 $1.70 undeclared 97.97%
SambaNovasambanova/fp8
Endpoint terms
Cached input /M
Unknown
Context limit
131,072 tokens
Output limit
7,168 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
96.92%
$0.650 $1.50 fp8 97.82%

Independent scores

LMArena Elo1419.7default
LMArena rowdeepseek-v3.1

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

Best rankings by task

  • SVG #89 966
  • 3D #93 1080
  • Code categories #94 1116
  • Game development #95 1089
  • UI components #95 1089
  • Websites #96 1125
  • Data visualisation #98 1099

Per-task Elo and rank from Design Arena, via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.

Capability

Context window163K
Max output32K
Input modestext
Tool useyes
Reasoningoptional
Knowledge cutoff2025-03-31
Open weightsUnknown

Provenance

Price sourcePublished record of 2026-10-06, under confirmation since 2026-10-12
Fetched2026-10-13
HeldPrice and provider offers kept at the published record of 2026-10-06 until a second day confirms the newer upstream value.
Quality dataverified

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

Questions this page answers

What does DeepSeek V3.1 cost?

$0.270/M in, $1.00/M out: the published record of 2026-10-06, under confirmation since 2026-10-12. That is the API row, not a subscription.

Does DeepSeek V3.1 have an independent quality score?

DeepSeek V3.1 has an LMArena score in this catalogue.

What beats DeepSeek V3.1?

GLM 5.3 Flash has an equal-or-higher measured score and an equal-or-lower price.

Does this page use Artificial Analysis scores for DeepSeek V3.1?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

Is the cheapest DeepSeek V3.1 endpoint the same product?

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.270/M from SiliconFlow.

MODEL MONUMENT

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The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

DeepSeek V3.1 — Undominated.ai dominance verdict

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[![DeepSeek V3.1 — Undominated.ai dominance verdict](https://undominated.ai/badge/deepseek__deepseek-chat-v3.1.svg)](https://undominated.ai/models/deepseek__deepseek-chat-v3.1/)
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Direct file: https://undominated.ai/badge/deepseek__deepseek-chat-v3.1.svg — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy.

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