MODEL PROOF

GLM 4.7 Flash

BETTER VALUE OPTION

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

$0.145 / 1M tokens Balanced · 3 tokens in per 1 out

Serving precision differs between offers.

Gemma 4 26B A4B · Δ score 83 points · 13% lower measured price · $0.127 / 1M tokens

Qwen3.5-Flash is a further stored option with these losses: 118K → 66K max output

Independent LMArena score
1,350.9 ± 5.68 · 11,977 votes
Context window
200K
Maximum output
117.96K
Input modalities
text
Output modalities
text
Published input price
$0.060 / 1M tokens
Published output price
$0.400 / 1M tokens
Pricing kind
fixed

Inspect complete billing conditions and endpoint terms below.

Price from Venice: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.

Every price dimension · USD per million tokens
Input$0.060/M
Output$0.400/M
Cached input$0.010/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 $0.060/M from Venice.

3 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)
Venicevenice/fp8
Endpoint terms
Cached input /M
$0.010
Context limit
128,000 tokens
Output limit
16,384 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
97.68%
$0.060 $0.400 fp8 98.13%
Cloudflarecloudflare
Endpoint terms
Cached input /M
Unknown
Context limit
131,072 tokens
Output limit
117,964 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
99.67%
$0.061 $0.400 undeclared 99.32%
Novitanovita/bf16
Endpoint terms
Cached input /M
$0.010
Context limit
200,000 tokens
Output limit
128,000 tokens
Tools
Listed by endpoint
Reasoning
Listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
82.60%
$0.070 $0.400 bf16 87.74%

Independent scores

LMArena Elo1350.9default

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

Best rankings by task

  • UI components #49 1214
  • Websites #57 1201
  • Code categories #59 1183
  • Game development #72 1148
  • 3D #73 1128
  • SVG #75 1037
  • Data visualisation #86 1130

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 window200K
Max output117K
Input modestext
Tool useyes
Reasoningoptional
Open weightsUnknown

Provenance

Price sourceopenrouter.ai
Fetched2026-10-06
Quality dataverified

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

Questions this page answers

What does GLM 4.7 Flash cost?

$0.060/M in, $0.400/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

Does GLM 4.7 Flash have an independent quality score?

GLM 4.7 Flash has an LMArena score in this catalogue.

What beats GLM 4.7 Flash?

Gemma 4 26B A4B has an equal-or-higher measured score and an equal-or-lower price.

Does this page use Artificial Analysis scores for GLM 4.7 Flash?

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 GLM 4.7 Flash endpoint the same product?

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.060/M from Venice.

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.

GLM 4.7 Flash — Undominated.ai dominance verdict

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